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Journal articles on the topic 'Left branch extraction'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

Hyeran Lee. "Left Branch Extraction in Korean." Studies in Generative Grammar 23, no. 3 (August 2013): 347–72. http://dx.doi.org/10.15860/sigg.23.3.201308.347.

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2

Vijayaraman, Pugazhendhi. "Extraction of Left Bundle Branch Pacing Lead." JACC: Clinical Electrophysiology 6, no. 7 (July 2020): 903–4. http://dx.doi.org/10.1016/j.jacep.2020.04.005.

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3

Mees, Bernard. "Left Branch Extraction and Clitic Placement in Gaulish." Journal of Celtic Linguistics 22, no. 1 (January 1, 2021): 105–24. http://dx.doi.org/10.16922/jcl.22.5.

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The inscriptional remains of Gaulish preserve syntactic behaviours that are not expected from the perspective of the diachronic schemes usually posited for the development of early Insular Celtic syntax from Proto-Indo-European. Widespread evidence is attested, particularly for the behaviour of clitics, that does not seem reconcilable with many of the assumptions made in previous studies regarding the nature of the syntax of Proto-Celtic. Gaulish also evidently features scrambling-type phenomena such as left branch extraction that are not usually thought to appear in other Celtic languages. An analysis which begins with an assessment of these features leads to a more empirically predicated and consistent understanding of the early development of Celtic word order than has been proffered previously.
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4

Oğurel, Tevfik, Zafer Onaran, Reyhan Oğurel, Nurgül Örnek, Nesrin Büyüktortop Gökçınar, and Kemal Örnek. "Branch Retinal Artery Occlusion following Dental Extraction." Case Reports in Ophthalmological Medicine 2014 (2014): 1–3. http://dx.doi.org/10.1155/2014/202834.

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Aim. To describe a case of branch retinal artery occlusion following dental extraction and to point out the ophthalmic complications of dental procedures to ophthalmologists and dentists.Case. A 51-year-old woman was referred to our clinic with painless sudden visual loss in her left eye after tooth extraction two days ago. In her left eye the best corrected visual acuity was 6/30 and fundus examination revealed peripapillary flame-shaped hemorrhages and pale retina in the upper temporal arcuate. The right eye examination was unremarkable.Conclusion. Dental procedures can lead to miscellaneous ophthalmic complications possibly due to the close proximity of the anatomic structures. Retinal arterial occlusion is a rare but serious cause of permanent visual loss among these dental procedures where the exact pathologic mechanism is still obscure.
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5

Stepanov, Artur, Manca Mušič, and Penka Stateva. "Asymmetries in sub-extraction out of np in Slovenian: a magnitude estimation study." Linguistica 56, no. 1 (December 28, 2016): 253–71. http://dx.doi.org/10.4312/linguistica.56.1.253-271.

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In this work, we aim to clarify the empirical paradigm that bears on two aspects of syntactic locality in Slovenian. First, building on previous work, we investigate how robustly Slovenian observes the syntactic locality constraint precluding constituent sub-extraction out of subject noun phrases. Second, we ask whether Slovenian allows Left Branch Extraction in interrogative and non-interrogative sentences. To elucidate both issues, we conducted a magnitude estimation study, the results of which support our previous claim that there is a subject island effect in Slovenian. Furthermore, our results suggest that Slovenian disallows Left Branch Extraction, in contrast with some other Slavic languages. We also discuss theoretical consequences of our empirical findings.
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6

Vrînceanu, Daniela, M. Dumitru, B. Banica, and Adriana Nica. "FOREIGN BODY IN MAXILLARY SINUS WITH SKIN FISTULA – CLINICAL CASE." Journal of Surgical Sciences 6, no. 3 (November 6, 2019): 82–84. http://dx.doi.org/10.33695/jss.v6i3.278.

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We present the case of a 41 years old patient with poor social status and previous facial trauma with a sharp object (wood branch) 2 years ago. Although it was performed the extraction of the branch in a local ENT department, the patient developed a fistula in the left genian region with the presence of puss. Two months ago the patient undergoes another head trauma leading to neurosurgery. CT scan raises the suspicion of a foreign body in the left maxillary sinus. We performed left maxillary sinus surgery through Caldwell-Luc approach with extraction of the foreign body and closure of the fistula. Surgical healing was optimal within 10 days. We analyze the medico-legal implications of such cases.
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7

Myung-Kwan Park. "Left Branch Extraction in Fragment and Truncated Cleft Constructions of Korean." Studies in Generative Grammar 22, no. 1 (February 2012): 219–33. http://dx.doi.org/10.15860/sigg.22.1.201202.219.

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8

Ponnusamy, Shunmuga Sundaram, and Pugazhendhi Vijayaraman. "Late dislodgement of left bundle branch pacing lead and successful extraction." Journal of Cardiovascular Electrophysiology 32, no. 8 (July 16, 2021): 2346–49. http://dx.doi.org/10.1111/jce.15155.

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9

Kim,Sun-Woong. "A Note on NP/DP Parameter: Left Branch Extraction in Korean." Linguistic Research 28, no. 2 (August 2011): 257–69. http://dx.doi.org/10.17250/khisli.28.2.201108.001.

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10

Wiland, Bartosz. "Overt Evidence from Left-Branch Extraction in Polish for Punctuated Paths." Linguistic Inquiry 41, no. 2 (April 2010): 335–47. http://dx.doi.org/10.1162/ling.2010.41.2.335.

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11

Bum-Sik Park and 김효식. "Case-drop, left-branch extraction and multiplicity in the right-dislocation construction." Linguistic Research 33, no. 2 (June 2016): 259–97. http://dx.doi.org/10.17250/khisli.33.2.201606.004.

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12

Boskovic, Zeljko. "On the locality of left branch extraction and the structure of NP*." Studia Linguistica 59, no. 1 (April 2005): 1–45. http://dx.doi.org/10.1111/j.1467-9582.2005.00118.x.

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13

Citko, Barbara. "The interaction between across-the-board wh-movement and left-branch extraction." Syntax 9, no. 3 (December 2006): 225–47. http://dx.doi.org/10.1111/j.1467-9612.2006.00092.x.

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14

Ohtaka, Akane. "Attributive subcomparatives in Japanese." Proceedings of the Linguistic Society of America 6, no. 1 (March 20, 2021): 369. http://dx.doi.org/10.3765/plsa.v6i1.4974.

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This paper aims to explain the difference in grammaticality between Japanese attributive subcomparatives with quantity adjectives (e.g., ooku/takusan ‘many’) and those with non-quantity adjectives (e.g., omosiroi ‘interesting’). My analysis assumes that Japanese clausal comparatives involve degree abstraction (Shimoyama 2012, see also Bhatt and Takahashi 2011). Degree abstraction is generally assumed to require movement of a null degree operator. In the case of attributive clausal comparatives, the movement takes place from the left branch position. If no operation that alleviates a left branch island violation is available, we would expect that the resulting sentences would be ungrammatical. I propose that in Japanese, quantifier float can play a role in ameliorating extraction out of the left branch islands. More specifically, I argue that (i) Japanese attributive subcomparatives with quantity adjectives involve quantifier float of the quantity adjectives, and that (ii) quantifier float carries the degree operators associated with the adjectives to a position where degree operator movement can originate.
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15

Bum-Sik Park and Sei-Rang Oh. "Left Branch Extraction in Multiple Fragments and Its Implications for Island Violations in Korean." Korean Journal of Linguistics 41, no. 1 (March 2016): 1–19. http://dx.doi.org/10.18855/lisoko.2016.41.1.001.

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16

Chen, Fulang. "Can noun modifiers be stranded or extracted in Mandarin?" Proceedings of the Linguistic Society of America 7, no. 1 (May 5, 2022): 5248. http://dx.doi.org/10.3765/plsa.v7i1.5248.

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This paper addresses the question of whether noun modifiers can be stranded or extracted in Mandarin. I argue that there is no positive evidence that noun modifiers can be stranded in Mandarin, and that noun modifiers cannot be extracted in Mandarin. Specifically, I show that the so-called "split NP" constructions, which are often taken to involve stranding of a noun modifier, should be subsumed under a phenomenon I refer to as "split partitivity". I further show that "split partitivity" does not involve left-branch extraction of a noun modifier, but involves extraction from Spec, DP, the "escape hatch" for extraction.
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17

AlShammiry, Khalaf M. J. "LEFT BRANCH EXTRACTION OUT OF THE DETERMINER PHRASE IN SAUDI NORTHERN REGION DIALECT OF ARABIC: A NEW PERSPECTIVE." Malaysian Journal of Languages and Linguistics (MJLL) 6, no. 2 (November 1, 2017): 17–35. http://dx.doi.org/10.24200/mjll.vol6iss2pp17-35.

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To my knowledge, Left Branch Extraction (LBE) out of the Determiner Phrase (DP) is not previously attested in Modern Standard Arabic ( MSA) or any of the Arabic dialects. In Saudi Northern Region dialect of Arabic (SNRDA), the wh-degree question kam “how many/much” can appear at the left periphery of the clause leaving the noun and other postnominal modifiers in the base position, in both the subject and the object positions. In this paper, I will argue for a new perspective for the syntactic phenomenon LBE in which the extracted element is a full DP, not part of a DP as previous studies assume, that moves leaving the other DP in situ. That is to say, I will argue that there are two DPs in the argument position; one of those two DPs is the numeral and the other is all that comes after the numeral including the overt noun and its postnominal modifiers. It is only the wh-item kam “how many/how much”, which moves to the left periphery of the clause. My argument is supported, besides other things, by morpho-syntactic similarities between the numeral and the noun, for example both participating in topic and focus constructions and both use of pro-clitic h- and the use of the definite article al- “the” with other pre-nominal modifier like the quantifier kil “all” and baadh “some. This paper is unique in that it provides a new perspective on LBE in a dialect of Arabic which is rarely discussed.
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18

le Polain de Waroux, Jean‐Benoit, Jean‐Yves Wielandts, Kris Gillis, Gabriela Hilfiker, Antonio Sorgente, Lucio Capulzini, Bert Geerts, Sébastien Knecht, Mattias Duytschaever, and René Tavernier. "Repositioning and extraction of stylet‐driven pacing leads with extendable helix used for left bundle branch area pacing." Journal of Cardiovascular Electrophysiology 32, no. 5 (April 14, 2021): 1464–66. http://dx.doi.org/10.1111/jce.15030.

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19

Obeidat, Yusra, and Ali Mohammad Alqudah. "A Hybrid Lightweight 1D CNN-LSTM Architecture for Automated ECG Beat-Wise Classification." Traitement du Signal 38, no. 5 (October 31, 2021): 1281–91. http://dx.doi.org/10.18280/ts.380503.

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In this paper we have utilized a hybrid lightweight 1D deep learning model that combines convolutional neural network (CNN) and long short-term memory (LSTM) methods for accurate, fast, and automated beat-wise ECG classification. The CNN and LSTM models were designed separately to compare with the hybrid CNN-LSTM model in terms of accuracy, number of parameters, and the time required for classification. The hybrid CNN-LSTM system provides an automated deep feature extraction and classification for six ECG beats classes including Normal Sinus Rhythm (NSR), atrial fibrillation (AFIB), atrial flutter (AFL), atrial premature beat (APB), left bundle branch block (LBBB), and right bundle branch block (RBBB). The hybrid model uses the CNN blocks for deep feature extraction and selection from the ECG beat. While the LSTM layer will learn how to extract contextual time information. The results show that the proposed hybrid CNN-LSTM model achieves high accuracy and sensitivity of 98.22% and 98.23% respectively. This model is light and fast in classifying ECG beats and superior to other previously used models which makes it very suitable for embedded systems designs that can be used in clinical applications for monitoring heart diseases in faster and more efficient manner.
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20

Zhao, Kevin, Christopher E. Talbot, Antonios Mammis, and Boris Paskhover. "Neuromodulation of the lingual nerve: a novel technique." Neurosurgical Focus: Video 3, no. 2 (October 2020): V6. http://dx.doi.org/10.3171/2020.7.focvid2018.

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The lingual nerve is a branch of the posterior trunk of the mandibular nerve. It provides sensation and taste to the ipsilateral anterior two-thirds of the tongue. Posttraumatic neuropathy of the lingual nerve can be chronic and debilitating long after the inciting trauma. In this operative video, the authors describe a novel technique for the treatment of lingual nerve neuropathy with neuromodulation. They present a case of a 69-year-old female with posttraumatic lingual nerve neuropathy after left molar extraction. The patient reported 95% symptom improvement after the procedure. This video demonstrates the feasibility of lingual nerve neuromodulation.The video can be found here: https://youtu.be/l-CKP8-8eqk
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21

Cheng, Chun-Yu, Zeeshan Qazi, and Laligam N. Sekhar. "Left External Carotid Artery to the Middle Cerebral Artery Bypass with Radial Artery Graft and Clip Reconstruction of a Large Middle Cerebral Artery Fusiform Aneurysm: 3-Dimensional Operative Video." Operative Neurosurgery 17, no. 4 (January 11, 2019): E159—E160. http://dx.doi.org/10.1093/ons/opy406.

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Abstract This 16-yr-old boy presented with episodes of severe headaches, blurred vision, dizziness, and muffled hearing and was discovered to have a large fusiform aneurysm of the left middle cerebral artery (MCA), M1 segment, 20 × 12 mm in dimension. The lenticulostriate arteries were arising proximal and distal to the aneurysm, but the anterior temporal artery was arising from the aneurysm. The aneurysm culminated in the distal M1 segment, and M1 immediately branched into 3 M2 vessels, the lower one being the larger. Due to origin of the lenticulostriate arteries and the anterior temporal artery and patient's age, a bypass was preferred to a flow diversion stent. He underwent left frontotemporal craniotomy and orbital osteotomy, left cervical external carotid artery exposure followed by radial artery graft extraction. The Sylvian fissure was opened and intracranial ICA was exposed for proximal control. The distal M2 vessels traced back toward the aneurysm. The aneurysm was not clippable and a bypass to the larger inferior M2 branch was performed followed by aneurysm trapping. The radial artery graft bypass was placed from the left external carotid artery to the M2 segment of left MCA, followed by clip reconstruction and occlusion of the MCA aneurysm with the preservation of the anterior temporal branch and the lenticulostriate vessels. The patient had no postoperative complications. At the follow-up, one month after surgery, he was doing well, and his angiogram demonstrated patency of the bypass. This video shows the management of a complex fusiform M1 aneurysm with bypass and trapping. Informed consent was obtained from the patient prior to the surgery that included videotaping of the procedure and its distribution for educational purposes. All relevant patient identifiers have also been removed from the video and accompanying radiology slides.
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22

Puspita, Indah, and Agus Maman Abadi. "Diagnosing Heart Disease using Wavelet Transformation and Adaptive Neuro Fuzzy Inference System (ANFIS) Based on Electrocardiagram (ECG)." JURNAL EKSAKTA 19, no. 1 (February 25, 2019): 71–82. http://dx.doi.org/10.20885/eksakta.vol19.iss1.art7.

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Heart disease is the leading cause of death in the world. Heart disease is called the silent killer, because it often occcurs suddenly. Therefore, periodic cardiac examination is very necessary to reduce cases of death from heart disease.Heart disease can be known through electrocardiogram (ECG) examination. This study aims to explain the process of diagnosing heart disease through ECG using wavelet transformation and Adaptive Neuro Fuzzy Inference System (ANFIS).The process of diagnosing heart disease begins with cutting ECG signal consisting of 9-11 waves into one ECG wave, then decomposition and extraction are performed using wavelet transformation to obtain 6 parameters. The parameters will be used as input in ANFIS model. Data obtained from ECG extraction are divided into 70% training data and 30% testing data The output from the ANFIS model is a diagnosis of heart diseases, such as left bundle branch block (LBBB), right bundle branch block (RBBB), and normal. ANFIS learning is divided into 6 stages, namely clustering data with Fuzzy C-Means method, computing the degree of membership of each data, determining fixed neurons, looking for normalized firing strength, calculating the consequent parameter values, and determining network output.The results of the study obtained the best ANFIS model with 10 clusters. The level of accuracy, specificity, and sensitivity for training data is 100%, 100%, and 100%, respectively and for the testing data, the level of accuracy, specificity, and sensitivity is 100%, 100%, and 100%, respectively.
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23

Mees, Bernard. "The Intertextuality of the Kragehul Spear-shaft Inscription." European Journal of Scandinavian Studies 49, no. 1 (April 24, 2019): 1–17. http://dx.doi.org/10.1515/ejss-2019-0001.

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AbstractThe inscription on a spear-shaft excavated from the Kragehul bog, just outside Flemløse, Denmark, in the late nineteenth century, is one of the most interpretatively problematic of all the early runic texts. Previous treatments of the inscription, however, have failed to consider the intertextuality and syntax of the text properly, and have often been distracted by idiosyncratic hypotheses peculiar to runic studies. The present paper addresses several of the shortcomings evident in the philological method applied in previous accounts in a historiographically critical analysis of the very difficult ancient moor find. Syntactic features such as anastrophe and left branch extraction can be discerned in the Kragehul spear-shaft inscription that seems to preserve a text that is intertextually paralleled by other contemporary Migration Age sources.
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24

Lu, Wenzong, and Hang Ma. "CLASSIFICATION AND DETECTION OF DYSRHYTHMIA FOR LECTROCARDIOGRAPHY SIGNALS BY CONVOLUTIONAL NEURAL NETWORK." International Journal of Engineering Applied Sciences and Technology 6, no. 10 (February 1, 2022): 84–93. http://dx.doi.org/10.33564/ijeast.2022.v06i10.010.

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Electrocardiography is the most useful method for diagnosing cardiovascular disease such as arrhythmia. Heartbeat classification of electrocardiography signals is a valuable and hopeful technology for early warning of dysrhythmia because it contains the cardiac electrical activities and reflects the abnormal cardiac activity. Therefore, a novel electrocardiogram-based arrhythmic beats classification was proposed to automatically detect the main types of dysrhythmia using electrocardiography signal in this work. A convolutional neural network model was used to automatically detect the normal and the types of dysrhythmia electrocardiography beats. The beat was transformed into a matrix as two-dimensional input to the model. The classification system was assessed to detect the normal, left bundle branch block, premature ventricular contraction and right bundle branch block beats using the MIT-BIH arrhythmia database. The results showed that an average accuracy of 99.30% and 98.85% was achieved by using ML2 lead of electrocardiography data with one-dimensional and 2-dimensional input, respectively. An average accuracy of 97.00% and 97.20% was achieved by using V1 lead of electrocardiography data with one-dimensional and 2-dimensional input, respectively. Moreover, no feature extraction of signals was carried out in this study. Consequently, the proposed model can accurately test the unknown electrocardiography signal and aid the clinician in the diagnosis of dysrhythmia.
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25

YANG, GUANGYING. "ELECTROCARDIOGRAM ARRHYTHMIA PATTERN RECOGNITION BASED ON AN IMPROVED WAVELET NEURAL NETWORK." Journal of Mechanics in Medicine and Biology 13, no. 01 (January 10, 2013): 1350018. http://dx.doi.org/10.1142/s0219519413500188.

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Electrocardiography (ECG) is a transthoracic interpretation of the electrical activity of the heart over a period of time, as detected by electrodes attached to the outer surface of the skin and recorded by a device external to the body. ECG signal classification is very important for the clinical detection of arrhythmia. This paper presents an application of an improved wavelet neural network structure to the classification of the ECG beats, because of the high precision and fast learning rate. Feature extraction method in this paper is wavelet transform. Our experimental data set is taken from the MIT-BIH arrhythmia database. The correct detection rate of QRS wave is 95% by testing the data of MIT-BIH database. The proposed methods are applied to a large number of ECG signals consisting of 600 training samples and 120 test samples from the MIT-BIH database. The samples equally represent six different ECG signal types, including normal beat, atrial premature beat, ventricular premature beat, left bundle branch block, right bundle branch block and paced beat. In comparison with pattern recognition methods of BP neural networks, RBF neural networks and Support Vector Machines (SVM), the results in this experiment prove that the wavelet neural network method has a better recognition rate when classifying electrocardiogram signals. The experimental results prove that supposed method in this paper is effective for arrhythmia pattern recognition field.
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26

DEWI, ERVIN MASITA, SUCI AULIA, and SUGONDO HADIYOSO. "Multi-Abnormal ECG Signal Classification using Dispersion Entropy and Statistic Feature." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 10, no. 3 (July 19, 2022): 677. http://dx.doi.org/10.26760/elkomika.v10i3.677.

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ABSTRAKElektrokardiogram (EKG) adalah salah satu perangkat medis yang paling banyak digunakan untuk mendiagnosis masalah jantung. Sinyal abnorma EKG mempunyai variasi dan beberapa mirip antara yang satu dengan lainnya. Oleh karena itu, pada penelitian ini diusulkan metode klasifikasi kelainan jantung berdasarkan EKG menggunakan fitur statistik orde satu dan Dispersion Entropy (DisEn) untuk tahap ekstraksi ciri. Sedangkan untuk tahap klasifikas sinyal EKG multi-abnormal, kami membandingkan metode Support Vector Machine (SVM) dan K-Nearest Neighbor (KNN). Pada penelitian ini diklasifikasikan tujuh kelas EKG, yaitu Normal, Atrial Fibrillation (AFIB), Atrial Flutter (AFL), Atrial Premature Beats (APB), Begiminy, Left Bundle Branch Block (LBBB), dan Premature Ventricular Contraction (PVC). Dari simulasi ini, sistem dapat mendeteksi sinyal normal dan abnormal dengan akurasi 85,1% menggunakan K-NN. Sementara itu, pada simulasi klasifikasi tujuh kelas sinyal EKG menghasilkan akurasi hingga 75.1%.Kata kunci: EKG, klasifikasi, Dispersion Entropy, statistik ABSTRACTElectrocardiogram (ECG) is one of the most widely used medical devices to diagnose heart disease. Abnormal ECG signals have variations and some are similar to another. Therefore, in this study, proposed a method for classifying cardiac abnormalities based on ECG using first-order statistical features and Dispersion Entropy (DisEn) for feature extraction. Meanwhile, for the multiabnormal ECG signal classification stage, we compared the Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) methods. In this study, seven ECG classes were classified, namely Normal, Atrial Fibrillation (AFIB), Atrial Flutter (AFL), Atrial Premature Beats (APB), Begiminy, Left Bundle Branch Block (LBBB), and Premature Ventricular Contraction (PVC). From this simulation, the system can detect normal and abnormal signals with an accuracy of 85.1% using K-NN. Meanwhile, the classification simulation of seven classes of ECG signals produces an accuracy of up to 75.1%.Keywords: ECG, classification, Dispersion Entropy, statistics
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27

Gu, Suicheng, Zhimin Wang, Jill M. Siegfried, David Wilson, William L. Bigbee, and Jiantao Pu. "Automated Lobe-Based Airway Labeling." International Journal of Biomedical Imaging 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/382806.

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Regional quantitative analysis of airway morphological abnormalities is of great interest in lung disease investigation. Considering that pulmonary lobes are relatively independent functional unit, we develop and test a novel and efficient computerized scheme in this study to automatically and robustly classify the airways into different categories in terms of pulmonary lobe. Given an airway tree, which could be obtained using any available airway segmentation scheme, the developed approach consists of four basic steps: (1) airway skeletonization or centerline extraction, (2) individual airway branch identification, (3) initial rule-based airway classification/labeling, and (4) self-correction of labeling errors. In order to assess the performance of this approach, we applied it to a dataset consisting of 300 chest CT examinations in a batch manner and asked an image analyst to subjectively examine the labeled results. Our preliminary experiment showed that the labeling accuracy for the right upper lobe, the right middle lobe, the right lower lobe, the left upper lobe, and the left lower lobe is 100%, 99.3%, 99.3%, 100%, and 100%, respectively. Among these, only two cases are incorrectly labeled due to the failures in airway detection. It takes around 2 minutes to label an airway tree using this algorithm.
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28

Sraitih, Mohamed, Younes Jabrane, and Amir Hajjam El Hassani. "An Automated System for ECG Arrhythmia Detection Using Machine Learning Techniques." Journal of Clinical Medicine 10, no. 22 (November 22, 2021): 5450. http://dx.doi.org/10.3390/jcm10225450.

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The new advances in multiple types of devices and machine learning models provide opportunities for practical automatic computer-aided diagnosis (CAD) systems for ECG classification methods to be practicable in an actual clinical environment. This imposes the requirements for the ECG arrhythmia classification methods that are inter-patient. We aim in this paper to design and investigate an automatic classification system using a new comprehensive ECG database inter-patient paradigm separation to improve the minority arrhythmical classes detection without performing any features extraction. We investigated four supervised machine learning models: support vector machine (SVM), k-nearest neighbors (KNN), Random Forest (RF), and the ensemble of these three methods. We test the performance of these techniques in classifying: Normal beat (NOR), Left Bundle Branch Block Beat (LBBB), Right Bundle Branch Block Beat (RBBB), Premature Atrial Contraction (PAC), and Premature Ventricular Contraction (PVC), using inter-patient real ECG records from MIT-DB after segmentation and normalization of the data, and measuring four metrics: accuracy, precision, recall, and f1-score. The experimental results emphasized that with applying no complicated data pre-processing or feature engineering methods, the SVM classifier outperforms the other methods using our proposed inter-patient paradigm, in terms of all metrics used in experiments, achieving an accuracy of 0.83 and in terms of computational cost, which remains a very important factor in implementing classification models for ECG arrhythmia. This method is more realistic in a clinical environment, where varieties of ECG signals are collected from different patients.
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29

Abdalwahid, Kawan Fadhil, Gavin S. Chu, and William B. Nicolson. "A case report: upgrade to cardiac resynchronization therapy with a blocked persistent left-sided superior vena cava." European Heart Journal - Case Reports 4, no. 2 (February 21, 2020): 1–5. http://dx.doi.org/10.1093/ehjcr/ytaa015.

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Abstract Background Pacemaker-induced cardiomyopathy (PICM) can occur in up to 9% of patients having a pacemaker. Pacemaker-induced cardiomyopathy can be treated by upgrade to a biventricular pacemaker with a left ventricular (LV) lead implantation. The procedure can be technically challenging in patients with persistent left-sided superior vena cava (PLSVC). Case summary We report the case of a 72-year-old gentleman with a PLSVC, who had a dual-chamber pacemaker implanted 15 years ago for complete heart block. After 12 years of good health, the gentleman developed breathlessness due to PICM. At upgrade to biventricular pacemaker, his coronary sinus was found to be occluded and a collateral branch was used to successfully position an LV lead. Marked clinical improvement was seen before representation with syncope after 2 years due to simultaneous failure of both LV and right ventricular leads. Subsequently, a right-sided de novo biventricular pacemaker was implanted. In this instance, the PLSVC was beneficial because it isolated the existing leads from the new implant, thereby reducing the risk of SVC obstruction. Discussion Although implantation of pacemaker leads through a PLSVC constitutes a challenging procedure due to manoeuvring difficulties of the pacing leads into the cardiac chambers, in this particular case, the presence of PLSVC was beneficial because it meant that no leads were present in the true SVC, reducing the risk of occlusion and avoiding the need for lead extraction.
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30

Hadiyoso, Sugondo, Suci Aulia, Indrarini Dyah Irawati, and Mohamad Ramdhani. "Multi-Distance Dispersion Entropy for ECG Signal Classification." International Journal of Online and Biomedical Engineering (iJOE) 18, no. 07 (June 14, 2022): 151–60. http://dx.doi.org/10.3991/ijoe.v18i07.30055.

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Automatic detection of heartbeat is critical for early cardiovascular disease prevention and diagnosis. Traditional feature methodologies based on expert knowledge cannot abstract and represent multidimensional and multi-view information. Hence traditional research on heartbeat detection pattern recognition cannot produce adequate results. The proposed method in this research used Dispersion Entropy (DisEn) on Multidistance Signal Level Difference (MSLD) for feature extraction and Support Vector Machine (SVM) method for classifying the ECG signals. DisEn generates 20 DE values as feature vectors for each MSLD signal with a distance D of 1 to 20. The datasets used in this research were obtained from the MIT-BIH Arrhythmia database of ECG signals that consist of forty-five patients was captured using 200 [adu/mV] amplification and a sampling frequency of 360 Hz. The experiments result using 5-fold cross-validation revealed that at distance D= 1-15 had the highest accuracy of 91% to classify the ECG data into Normal Sinus Rhythm (NSR), Left Bundle Branch Block (LBBB), and Atrial Fibrillation (AFIB) from the MIT-BIH Arrhythmias database.
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Lyutikova, Ekaterina, and Asya Pereltsvaig. "The Tatar DP." Canadian Journal of Linguistics/Revue canadienne de linguistique 60, no. 3 (November 2015): 289–325. http://dx.doi.org/10.1017/s0008413100026232.

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AbstractIn this paper, we reconsider whether article-less languages have the DP projection, focusing on Tatar. We argue that putative correlations between the presence/absence of articles in a language and various DP-external phenomena (e.g. Left-Branch Extraction, superiority effects, and others), discussed by Bošković and Şener (2014), inter alia, do not hold if a broader range of languages is considered more carefully. Instead, we show that certain correlations obtain between the internal structure, syntactic position, case marking, and interpretation of. noun phrases found in distinct structural environments: direct objects, possessors, and complements of the so-called attributivizers. Specifically, we demonstrate a contrast between two types of nominals: accusative direct objects, possessors in ezafe-3, and complements of certain attributivizers share properties that contrast them with unmarked direct objects, possessors in ezafe-2, and complements of other attributivizers. We argue that postulating the DP projection in the former but not the latter type of noun phrases allows us to account for these observed correlations in a unified way.
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Bayırlı, İsa Kerem. "Labeling, Concord, and Nominal Syntax in Turkish." Languages 7, no. 4 (November 22, 2022): 296. http://dx.doi.org/10.3390/languages7040296.

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According to Chomsky’s Labeling Algorithm the merger of two phrases, i.e., {XP, YP}, is labeled either via feature sharing between the two elements or by ignoring the lower copies of movement chains. It is not immediately clear, within this approach, how adjunction structures such as {aP, nP} are to be labeled. In those languages where adjectives show concord with nouns in φ features, the shared features may provide the label.This option is not available for non-concord languages, however. In this paper, we focus on the labeling of {aP, nP} in Turkish, a non-concord language. We claim that the categorizing n0 head in Turkish lacks grammatical features, as a result of which aP fails to find valued instances of its unvalued features. In the absence of feature sharing, aP is marked as a Spell-Out domain, and {aP, nP} is labeled as nP as soon as aP is sent to the interfaces. Since aP in Turkish is a Spell-Out domain, the left-branch extraction of adjectives (i.e., aP movement) is not possible. Moreover, the lack of any grammatical features on n0 in Turkish accounts for the availability of suspension of the plural morpheme.
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33

Mastoi, Qurat-ul-ain, Teh Ying Wah, Mazin Abed Mohammed, Uzair Iqbal, Seifedine Kadry, Arnab Majumdar, and Orawit Thinnukool. "Novel DERMA Fusion Technique for ECG Heartbeat Classification." Life 12, no. 6 (June 6, 2022): 842. http://dx.doi.org/10.3390/life12060842.

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An electrocardiogram (ECG) consists of five types of different waveforms or characteristics (P, QRS, and T) that represent electrical activity within the heart. Identification of time intervals and morphological appearance of the waves are the major measuring instruments to detect cardiac abnormality from ECG signals. The focus of this study is to classify five different types of heartbeats, including premature ventricular contraction (PVC), left bundle branch block (LBBB), right bundle branch block (RBBB), PACE, and atrial premature contraction (APC), to identify the exact condition of the heart. Prior to the classification, extensive experiments on feature extraction were performed to identify the specific events from ECG signals, such as P, QRS complex, and T waves. This study proposed the fusion technique, dual event-related moving average (DERMA) with the fractional Fourier-transform algorithm (FrlFT) to identify the abnormal and normal morphological events of the ECG signals. The purpose of the DERMA fusion technique is to analyze certain areas of interest in ECG peaks to identify the desired location, whereas FrlFT analyzes the ECG waveform using a time-frequency plane. Furthermore, detected highest and lowest components of the ECG signal such as peaks, the time interval between the peaks, and other necessary parameters were utilized to develop an automatic model. In the last stage of the experiment, two supervised learning models, namely support vector machine and K-nearest neighbor, were trained to classify the cardiac condition from ECG signals. Moreover, two types of datasets were used in this experiment, specifically MIT-BIH Arrhythmia with 48 subjects and the newly disclosed Shaoxing and Ningbo People’s Hospital (SPNH) database, which contains over 10,000 patients. The performance of the experimental setup produced overwhelming results, which show around 99.99% accuracy, 99.96% sensitivity, and 99.9% specificity.
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Nasim, Amnah, and Yoon Sang Kim. "DE-PNN: Differential Evolution-Based Feature Optimization with Probabilistic Neural Network for Imbalanced Arrhythmia Classification." Sensors 22, no. 12 (June 12, 2022): 4450. http://dx.doi.org/10.3390/s22124450.

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In this research, a heartbeat classification method is presented based on evolutionary feature optimization using differential evolution (DE) and classification using a probabilistic neural network (PNN) to discriminate between normal and arrhythmic heartbeats. The proposed method follows four steps: (1) preprocessing, (2) heartbeat segmentation, (3) DE feature optimization, and (4) PNN classification. In this method, we have employed direct signal amplitude points constituting the heartbeat acquired from the ECG holter device with no secondary feature extraction step usually used in case of hand-crafted, frequency transformation or other features. The heartbeat types include normal, left bundle branch block, right bundle branch block, premature ventricular contraction, atrial premature, ventricular escape, ventricular flutter and paced beat. Using ECG records from the MIT-BIH, heartbeats are identified to start at 250 ms before and end at 450 ms after the respective R-peak positions. In the next step, the DE method is applied to reduce and optimize the direct heartbeat features. Although complex and highly computational ECG heartbeat classification algorithms have been proposed in the literature, they failed to achieve high performance in detecting some minority heartbeat categories, especially for imbalanced datasets. To overcome this challenge, we propose an optimization step for the deep CNN model using a novel classification metric called the Matthews correlation coefficient (MCC). This function focuses on arrhythmia (minority) heartbeat classes by increasing their importance. Maximum MCC is used as a fitness function to identify the optimum combination of features for the uncorrelated and non-uniformly distributed eight beat class samples. The proposed DE-PNN scheme can provide better classification accuracy considering 8 classes with only 36 features optimized from a 253 element feature set implying an 85.77% reduction in direct amplitude features. Our proposed method achieved overall 99.33% accuracy, 94.56% F1, 93.84% sensitivity, and 99.21% specificity.
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Oliveira, Bruno Rodrigues de, Marco Aparecido Queiroz Duarte, and Jozue Vieira Filho. "Premature ventricular contraction recognition using blind source separation and ensemble gaussian naive bayes weighted by analytic hierarchy process." Acta Scientiarum. Technology 44 (July 28, 2022): e60386. http://dx.doi.org/10.4025/actascitechnol.v44i1.60386.

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Premature Ventricular Contractions (PVC) arrhythmias can be associated with sudden death and acute myocardial infarction, occurring in 50% of the population for Holter monitoring. PVC patterns are very hard to be recognized since their waveforms can be confused with other heartbeats, such as Right and Left Bundle Branch Blocks. This work proposes a new approach for PVC recognition, based on Gaussian Naive Bayes algorithm and AMUSE (Algorithm for Multiple Unknown Signal Extraction), which is a method for the blind source separation problem. This approach provides a set of attributes that are combined by Linear Discriminant Analysis, allowing the training of an ensemble learning. The Analytic Hierarchy Process weights each learned model according to its importance, obtained from the performance metrics. This approach has some advantages over baseline methods since it does not use a pre-processing stage and employs a simple machine learning model trained using only two parameters for each feature. Using a standard dataset for training and test phases, the proposed approach achieves 98.75% accuracy, 90.65% sensitivity, and 99.46% specificity. The best performance was 99.57% accuracy, 98.64% sensitivity, and 99.65% specificity for other datasets. In general, the proposed approach is better than 66% of the state-of-the-art methods concerning accuracy
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36

Laughlin, M. H. "Effects of exercise training on coronary transport capacity." Journal of Applied Physiology 58, no. 2 (February 1, 1985): 468–76. http://dx.doi.org/10.1152/jappl.1985.58.2.468.

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Coronary transport capacity was estimated in eight sedentary control and eight exercise-trained anesthetized dogs by determining the differences between base line and the highest coronary blood flow and permeability-surface area product (PS) obtained during maximal adenosine vasodilation with coronary perfusion pressure constant. The anterior descending branch of the left coronary artery was cannulated and pump-perfused under constant-pressure conditions (approximately equal to 100 Torr) while aortic, central venous, and coronary perfusion pressures, heart rate, electrocardiogram, and coronary flow were monitored. Myocardial extraction and PS of 51Cr-labeled ethylenediaminetetraacetic acid were determined with the single-injection indicator-diffusion method. The efficacy of the 16 +/- 1 wk exercise training program was shown by significant increases in the succinate dehydrogenase activities of the gastrocnemius, gluteus medialis, and long head of triceps brachii muscles. There were no differences between control and trained dogs for either resting coronary blood flow or PS. During maximal vasodilation with adenosine, the trained dogs had significantly lower perfusion pressures with constant flow and, with constant-pressure vasodilation, greater coronary blood flow and PS. It is concluded that exercise training in dogs induces an increased coronary transport capacity that includes increases in coronary blood flow capacity (26% of control) and capillary diffusion capacity (82% of control).
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Bošković, Željko. "On Movement out of Moved Elements, Labels, and Phases." Linguistic Inquiry 49, no. 2 (March 2018): 247–82. http://dx.doi.org/10.1162/ling_a_00273.

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The article deduces a modified version of the traditional ban on movement out of moved elements that provides a new perspective on it. Under the proposed analysis, the problem with the movement of YP out of moved XP does not arise at the point where YP moves out of XP, as in previous accounts. Instead, it arises already with the movement of XP: XP itself cannot undergo movement in this case. Any later movement out of XP is then trivially blocked. The proposed analysis leaves room for movement out of moved elements to take place in well-defined contexts. Several constructions bear this out, including German/Dutch r-pronoun constructions, Slavic left-branch extraction, and quantifier float more generally. What the proposed analysis deduces is then not the traditional ban on movement out of moved elements, but a ban on movement of phases with nonagreeing specifiers, which the article argues should replace the former ban. As a result, the analysis also extends to the immobility of verb-second clauses in German. The article also provides a new perspective on the Adjunct Condition (the ban on movement out of adjuncts). It shows that movement out of adjuncts is possible in the same configuration as movement out of moved elements. The proposed account of the latter is then extended to the Adjunct Condition. The article also proposes a labeling-based account of the Coordinate Structure Constraint, which also captures the across-the-board-movement exception.
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SATHYAMANGALAM NATARAJAN, SHIVAPPRIYA, ARUN KUMAR SHANMUGAM, JUDE HEMANTH DURAISAMY, and HARIKUMAR RAJAGURU. "PREDICTION OF CARDIAC ARRHYTHMIA USING MULTI CLASS CLASSIFIERS BY INCORPORATING WAVELET TRANSFORM BASED FEATURES." DYNA 97, no. 4 (July 1, 2022): 418–24. http://dx.doi.org/10.6036/10458.

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Timely diagnosis and earlier detection of the dangerous heart conditions will reduce the mortality rate and save life of the patient. For that, it is necessary to automate the classi?cation and prediction of Cardiac Arrhythmia. Raw ECG signal is extracted from the MIT-BIH Arrhythmia database, followed by preprocessing and feature extraction using wavelet transform method. Further the extracted features are used for the classification of four different cardiac arrhythmias such as Bradycardia, Tachycardia, Left and Right Bundle Branch Block. Comparative study on the five different classifiers namely Decision trees, Support Vector Machine (SVM), Discriminant Analysis, k-Nearest Neighbor Classifiers (KNN), Ensemble Classifiers, and its variants are experimented in the proposed work. Among these, the weighted KNN classifier gives higher accuracy (90.3%) and prediction speed (10,000 observations per second) with reduced training time (4.329 seconds), compared with the existing state of the art methods. The prediction speed is 10,000 numbers of observations per second which identifies the heart problem earlier, and so appropriate treatment can be given to the patient. To further improve the classification accuracy, three optimizable classifiers namely Optimizable KNN, optimizable SVM, optimizable ensemble are used for the hyper parameter tunning and weight optimization. The optimizable SVM provides better perform (accuracy 93.4 %) among the three optimizable classifiers as well as the existing state of the art works. Therefore, the proposed work used for earlier Cardiac arrhythmia disease diagnosis and prognosis. Keywords: ECG, Cardiac Arrhythmia, Wavelet Transform, Multi class Classifiers, Decision trees, Support Vector Machine (SVM), Discriminant Analysis, k-Nearest Neighbor Classifiers, Ensemble Classifiers, Optimizable classifier.
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Helmiyah, Siti, Imam Riadi, Rusydi Umar, Abdullah Hanif, Anton Yudhana, and Abdul Fadlil. "Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance." Jurnal Teknologi Informasi dan Ilmu Komputer 7, no. 6 (December 2, 2020): 1177. http://dx.doi.org/10.25126/jtiik.2020722693.

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<p class="Abstrak">Ucapan merupakan sinyal yang memiliki kompleksitas tinggi terdiri dari berbagai informasi. Informasi yang dapat ditangkap dari ucapan dapat berupa pesan terhadap lawan bicara, pembicara, bahasa, bahkan emosi pembicara itu sendiri tanpa disadari oleh si pembicara. Speech Processing adalah cabang dari pemrosesan sinyal digital yang bertujuan untuk terwujudnya interaksi yang natural antar manusia dan mesin. Karakteristik emosional adalah fitur yang terdapat dalam ucapan yang membawa ciri-ciri dari emosi pembicara. Linear Predictive Coding (LPC) adalah sebuah metode untuk mengekstraksi ciri dalam pemrosesan sinyal. Penelitian ini, menggunakan LPC sebagai ekstraksi ciri dan Metode Euclidean Distance untuk identifikasi emosi berdasarkan ciri yang didapatkan dari LPC. Penelitian ini menggunakan data emosi marah, sedih, bahagia, netral dan bosan. Data yang digunakan diambil dari Berlin Emo DB, dengan menggunakan tiga kalimat berbeda dan aktor yang berbeda juga. Penelitian ini menghasilkan akurasi pada emosi sedih 58,33%, emosi netral 50%, emosi marah 41,67%, emosi bahagia 8,33% dan untuk emosi bosan tidak dapat dikenali. Penggunaan Metode LPC sebagai ekstraksi ciri memberikan hasil yang kurang baik pada penelitian ini karena akurasi rata-rata hanya sebesar 31,67% untuk identifikasi semua emosi. Data suara yang digunakan dengan kalimat, aktor, umur dan aksen yang berbeda dapat mempengaruhi dalam pengenalan emosi, maka dari itu ekstraksi ciri dalam pengenalan pola ucapan emosi manusia sangat penting. Hasil akurasi pada penelitian ini masih sangat kecil dan dapat ditingkatkan dengan menggunakan ekstraksi ciri yang lain seperti prosidis, spektral, dan kualitas suara, penggunaan parameter <em>max, min, mean, median, kurtosis dan skewenes.</em> Selain itu penggunaan metode klasifikasi juga dapat mempengaruhi hasil pengenalan emosi.</p><p class="Judul2" align="left"> </p><p class="Judul2"><strong><em>Abstract</em></strong></p><p class="Abstrak"><em>Speech is a signal that has a high complexity consisting of various information. Information that can be captured from speech can be in the form of messages to interlocutor, the speaker, the language, even the speaker's emotions themselves without the speaker realizing it. Speech Processing is a branch of digital signal processing aimed at the realization of natural interactions between humans and machines. Emotional characteristics are features contained in the speech that carry the characteristics of the speaker's emotions. Linear Predictive Coding (LPC) is a method for extracting features in signal processing. This research uses LPC as a feature extraction and Euclidean Distance Method to identify emotions based on features obtained from LPC. This study uses data on emotions of anger, sadness, happiness, neutrality, and boredom. The data used was taken from Berlin Emo DB, using three different sentences and different actors. This research resulted in inaccuracy in sad emotions 58.33%, neutral emotions 50%, angry emotions 41.67%, happy emotions 8.33% and bored emotions could not be recognized. The use of the LPC method as feature extraction gave unfavorable results in this study because the average accuracy was only 31.67% for the identification of all emotions. Voice data used with different sentences, actors, ages, and accents</em><em> </em><em>can influence the recognition of emotions, therefore the extraction of features in the recognition of speech patterns of human emotions is very important. Accuracy results in this study are still very small and can be improved by using other feature extractions such as provides, spectral, and sound quality, using parameters max, min, mean, median, kurtosis, and skewness. Besides the use of classification methods can also affect the results of emotional recognition.</em></p><p class="Abstrak"> </p>
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Kurzybova, Y. V., and V. I. Dmitriev. "On the Development of the Database “ArchaeoNomos” to Support Archaeological Research." Bulletin of the Irkutsk State University. Geoarchaeology, Ethnology, and Anthropology Series 35 (2021): 3–16. http://dx.doi.org/10.26516/2227-2380.2021.35.3.

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Archeology is the only branch of human study that relies more on material remains left by people than on direct observation of human behavior or on written evidence. This focus on material evidence compels archaeologists to improve the methods and techniques of collecting and interpreting data that ensure the extraction of maximum information from available sources. The article provides an analysis of existing national and foreign information and geoinformation systems representing data on archaeological finds, cultural sites, and research documentation. A description of the existing standards, which regulate the list of attributes of geoarchaeological objects, is provided. The article also describes the stages of conceptual and logical modeling of the “ArchaeoNomos” database, which represents a unified repository for all data accompanying archaeological investigations, archaeological research and design, and documentation of research activities of the Scientific Research Center “Baikal Region” of Irkutsk State University. The problem of automating the processes of storage, processing, modification, and interpretation of geoarchaeological data is formulated. The system analysis of the subject area, system specification of an application that works with a database, the surveying specialists of the subject area to identify associations between database objects are presented. The infological and physical models of data presentation in the database are described, which allows the integration of the accumulated archaeological data into larger scientific associations. Finally, the advantages and disadvantages of using relational databases as repositories for archaeological data are outlined. The purpose of creating the “ArchaeoNomos” database is to implement measures for the preservation of the archaeological heritage, including the introduction and the use of the database by scientists that systematize and automate access to accumulated scientific data, including literary sources. The sub-goals include solving the problem of organizing and storing archaeological data, implementing multilingual interfaces in the information system, organizing information support for field and laboratory archaeological research, transferring the physical (nondigital) historical data storage system to a digital system. “ArchaeoNomos” database allows to keep records, analyze, visualize, and interpret data on geoarchaeological sites of Irkutsk and the Irkutsk region.
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41

Nikolishin, A. K., O. V. Rybalov, and I. A. Korolenko. "ODONTALGIA IN MAXILLOFACIAL REGION." Ukrainian Dental Almanac, no. 2 (June 29, 2021): 44–48. http://dx.doi.org/10.31718/2409-0255.2.2021.08.

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Odontogenic lesions of the trigeminal nerve branch system (neuritis, neuralgia, odontalgia) that tend to have a long chronic course are more common in middle and old age. They can be caused by defects in the treatment and restoration of teeth, inflammatory and traumatic processes in the maxillofacial region, and others. The dentist should distinguish between the terms: "odontalgia" and "odontogenic trigeminal neuralgia". Odontogenic neuralgias do not disappear after the elimination of the main odontogenic pathological focus. If after the sanitation of the oral cavity pain disappears, then we are talking about odontalgia. Sometimes it is very difficult to find the cause of the disease. Pain in the facial area and occipital region of the head can also occur with osteochondrosis of the cervical ridge and provoke pain in the system of the trigeminal nerve branches. Pain and paresthesias can occur in the occipital region of the head and neck, and then spread to the parietal, zygomatic region or the entire face. More often the pain radiates to the frontal region, orbit, or ear. The reverse development of the syndrome may also occur: pain sensations begin in the face and spread to the cervico-occipital region. The article presents a case of odontalgia of the maxillofacial region that arose after the treatment of complicated caries of the 26th tooth. The pain periodically appeared in the left occipital region, and then passed to the orbit; a feeling of distension in the eyeball appeared, then the pain passed to the left upper jaw and gradually subsided. The patient described pain as acute, appeared in the form of seizures, and was not associated with the action of thermal stimuli. After clinical and laboratory examination, the oral cavity was sanitized, including the course of treatment of generalized periodontitis, restoration of the destroyed crown of tooth 23, and root canal therapy of previously treated tooth 26 for chronic pulpitis complicated by periodontitis. An old filling was removed from the tooth (no R-contrast lining material was found at the bottom of the tooth cavity). After the preparation of the tooth cavity, an attempt was made to carry out high-quality endodontic treatment, but the root canals were completely obliterated. Endodontic retreatment of the tooth 26 was unsuccessful. An antiseptic solution was left at the bottom of the tooth cavity, then a paste and a phosphate cement pad were placed; after that a photocomposite restoration was done. In parallel, a course of the treatment for osteochondrosis of the cervical spine was carried out by a neurologist. The performed oral sanitation and the treatment of cervical osteochondrosis failed to be effective. Pain in the back of the head and maxillofacial area practically did not change, continued with the same frequency and intensity. Additional clinical, laboratory and X-ray examination did not allow us to establish an obvious cause of the disease. Therefore, after the medical consultation with doctors of related specialties (oral surgeons, neurologists), we decided to perform therapija ex juvantibus, i.e. to remove the "causal" tooth. After the 26 tooth was removed, the pain completely disappeared. The above case testifies that sometimes it can be very difficult to establish the cause of neurological pain, and thus, to make correct diagnosis and to prescribe proper treatment. It is possible to presume that recurrent pain attacks in the left occipital region that move to the orbit of the eye, a feeling of distension of the eyeball, pain in the left upper jaw, slowly subsiding and not associated with the action of thermal stimuli were provoked by the painful condition of the pulp-periodontal complex of tooth 26, which did not respond to endodontic treatment. The extraction of the tooth led to the complete disappearance of neurological pain, which is characteristic of odontalgia of the maxillofacial region.
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Manzoor, Azia, Vinka Maini, and Wasim Manzoor. "Forensic age assessment using Kvaal’s method with digital orthopantomographs (OPG) and comparison with the actual age of the subjects." Asian Journal of Medical Sciences 12, no. 10 (October 1, 2021): 142–46. http://dx.doi.org/10.3126/ajms.v12i10.38349.

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Background: Forensic Dentistry is one of the branch of Forensic Medicine which deals with the complete handling of dental evidence, estimation and examination and the evidence obtained would be used in the court for justice. Kvaal and Solheim given a method used on adults for calculation of age with the help of morphological and radiological methods, but extraction was still required. Hence to improve this procedure Kvaal et al made a method which is totally based on radiological analysis. Aims and Objective: The present study was designed to compare the forensic age assessment using Kvaal’s method and digital orthopantomographs with the actual age of the subjects. Materials and Methods: Present observational study was conducted in subjects with all the required complement of teeth on either right or left side, completely erupted clinical crown, without any morphological abnormalities for age estimation by Kvaal’s method with digital orthopantomograph as and compared with actual age of subjects. Results: In the present study out of 100 subjects, maximum number of subjects i.e. 61 were in the age group of 20 – 29 and minimum number of subjects i.e. 7 were in the age group of 50 –59. 43 were females and 57 were males. The regression equation was derived for all six studied teeth and coefficient of determination R2 was found for all the individual six teeth. Coefficient of determination was highest for lower first premolar (0.517) followed by upper central incisor (0.178), lower canine (0.134), lower lateral incisors, upper second premolar and upper lateral incisors. M & W-L were found significant predictors for lower first premolar, lower canine and upper central incisors. Similarly, coefficient of determination (R2) was significant higher for lower three teeth (0.478) than upper three teeth (0.069) with M & W-L were significant predictor. Regression equation derived for all six teeth together shows significant coefficient of determination R2(0.430) with M, W-L both are significant predictors. No statistically significant difference between the actual age and estimated age for all individual six teeth was noted. Mean difference lowest for lower first premolar (0.001) followed by lower canine (0.007). Conclusion: We noted that age assessment using Kvaal’s method with digital orthopantomographas and actual age of the subjects were comparable & no significant difference was noted. Kvaal’s method with digital orthopantomographas is a better option for age estimation without teeth removal.
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Rijal, S., S. Sigdel, and M. S. Paudel. "Study of an Isolated Dust Structure Nearby the White Dwarf WD0011-399 Using IRIS, AKARI, and WISE Data." Journal of Nepal Physical Society 8, no. 2 (December 19, 2022): 14–22. http://dx.doi.org/10.3126/jnphyssoc.v8i2.50140.

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During the asymptotic giant branch (AGB) phase, a major fraction of mass is spread by the stars (0.6 - 10 M⊙) in the interstellar medium (ISM) in the form of dust. In the left phase of the post-main sequence evolution in the Hertzsprung-Russell (HR) diagram, these dust are found to be surrounding the white dwarfs (WD). Some small fraction of dust is also formed in the circumstellar shells and cavities around WD which is usually a source of infrared (IR) excess. The formation and evolution of such IR dust structures are the results of high-pressure events such as the Helium shell flash (thermal pulse) and stellar winds, and such structures are crucial in the study of interaction phenomena in ISM. This research project is focused on the study of an isolated dust structure near the white dwarf WD0011-399 located at R.A. (J2000) 00h 13m 47.48s and Dec. (J2000) -39° 370 24.2800 using Improved Reprocessing of the IRAS (IRIS), AKARI and Wide-field Infrared Survey Explorer (WISE) surveys from SkyView Virtual Observatory along with SIMBAD Astronomical Database and Gaia Archive of ESA. The size of the cavity under study is 7.43 pc×2.90 pc, 2.99pc×0.99pc, and 1.26×0.53pc with an inclination angle of 71.12°, 75.73°, and 68.48° respectively in IRIS, AKARI and WISE data suggesting the cavity is neither a face-on nor an edge-on. The relative flux density of the region has been studied through pixel extraction of Far-Infrared (FIR) images and dust color temperature along with dust mass has been calculated. Using IRIS data, the temperature of the isolated region is found between a maximum value of 36.82±4.30 K to a minimum of 22.59±2.32 K with an offset of 14.23 K. The average temperature of the region is 28.22±0.18 K. Following similar procedures for AKARI data, the temperature is found between a maximum of 26.37±3.56 K and a minimum of 16.32±1.47 K with an offset of 10.06K. The average temperature is 19.25±0.15 K. Similarly, using WISE data, the temperature is found between a maximum of 353.72±18.54 K and a minimum of 307.24±4.69 K with an offset of 46.48K. The average temperature is 316.62±0.81 K. High value of offset temperature suggests that the cavity might be evolving with disruptions from background radiative sources. Approximately Gaussian distribution of the temperature in all the surveys implies that the region might be tending towards local thermodynamic equilibrium. The total mass of the structure is estimated to be around 0.03±1.5×10−6M⊙, 1.6×10−3±1.4×10−5 M⊙, and 10−7±3×10−10 M⊙ using IRIS, AKARI, and WISE data respectively. The Jean’s mass of the structure is calculated assuming the structure is a non-degenerate gas, which is estimated around 2001.93M⊙, 178.44M⊙, and 121.47M⊙ respectively using IRIS, AKARI, and WISE data. Since Jean’s mass is much greater than the mass of the structure there seems no possibility of star formation within the region of interest. The color maps illustrate identical distribution for all wavelengths, however, no significant relation is observed between dust color temperature and dust mass.
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Ullah, Amin, Syed Muhammad Anwar, Muhammad Bilal, and Raja Majid Mehmood. "Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation." Remote Sensing 12, no. 10 (May 25, 2020): 1685. http://dx.doi.org/10.3390/rs12101685.

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The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the heart’s rhythmic irregularities, commonly known as arrhythmias. A careful study of ECG signals is crucial for precise diagnoses of patients’ acute and chronic heart conditions. In this study, we propose a two-dimensional (2-D) convolutional neural network (CNN) model for the classification of ECG signals into eight classes; namely, normal beat, premature ventricular contraction beat, paced beat, right bundle branch block beat, left bundle branch block beat, atrial premature contraction beat, ventricular flutter wave beat, and ventricular escape beat. The one-dimensional ECG time series signals are transformed into 2-D spectrograms through short-time Fourier transform. The 2-D CNN model consisting of four convolutional layers and four pooling layers is designed for extracting robust features from the input spectrograms. Our proposed methodology is evaluated on a publicly available MIT-BIH arrhythmia dataset. We achieved a state-of-the-art average classification accuracy of 99.11%, which is better than those of recently reported results in classifying similar types of arrhythmias. The performance is significant in other indices as well, including sensitivity and specificity, which indicates the success of the proposed method.
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Gao, Chaoqun, Dongkai Yang, Xuebao Hong, Bo Wang, and Bo Zhang. "Performance Analysis of Ground Target Detection Utilizing Beidou Satellite Reflected Signals." Sensors 19, no. 9 (May 9, 2019): 2163. http://dx.doi.org/10.3390/s19092163.

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This paper presents a method of ground target detection using reflected signals of BeiDou satellites. The phase difference information, which is the output of the phase-lock loop (PLL) in the tracking process, is an important observation in this technique. The geometric relationships between the specular point of different BeiDou satellites and the target are established. In addition, the detection and false alarm probability are also analyzed. In order to verify the reliability of the method, an experiment in the suburb area of Beijing was completed. The target was placed in the coverage area of the left-handed circular polarization (LHCP) antenna for two time periods (10–20 s and 40–55 s). By observing the phase difference in BeiDou reflected signals in the presence of a target, it was found that the changing trend was in good agreement with the target placement time periods. In the second experiment, the target moved east and west at a speed of 0.5 m/s, and the range of motion was 6 m. During the acquisition of the BeiDou reflection signal, the target passed through the antenna 14 times. The performance of target detection with different parameters was observed by extracting in-phase (I) branch component data, phase difference information, and the carrier-to-noise ratio (CNR) of five BeiDou reflected signals. The experimental results allowed three conclusions to be drawn as follows: (1) The target detection performance of the three parameters has a certain relationship with the altitude angle and the azimuth angle of the satellite; (2) target motion direction information can be reflected in the change of the satellite I branch component data; (3) The CNR information of different satellite reflected signals varies greatly when the target moves, which is quite different from that of the first experimental target when it is stationary. Thus, the feasibility of target detection using BeiDou reflection signal was demonstrated through these two experiments.
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Doccola, Joseph, Eric Bristol, Samantha Sifleet, Joseph Lojko, and Peter Wild. "Efficacy and Duration of Trunk-Injected Imidacloprid in the Management of Hemlock Woolly Adelgid (Adelges tsugae)." Arboriculture & Urban Forestry 33, no. 1 (January 1, 2007): 12–21. http://dx.doi.org/10.48044/jauf.2007.002.

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Hemlock woolly adelgid (Adelges tsugae) (HWA) is an introduced piercing, sucking insect that affects hemlocks (Tsuga spp.) by extracting carbohydrates from the xylem ray parenchyma cells. Left untreated, HWA will result in reduced shoot growth, branch dieback, and ultimately tree death. In this study, the insecticide IMA-jet (5% imidacloprid w/w) was applied by trunk microinjection with the Arborjet Tree I.V. using the VIPER method. Sixteen randomly selected HWA-infested hemlocks were treated in 2002 and 2003 and eight trees were selected as untreated controls. Eight infested branch samples per tree were cut each year (2003, 2004, and 2005) and assessed. Four parameters were used to assess the efficacy and duration of treatments. These were percent HWA mortality, total and live HWA per linear centimeter shoot growth, and current-year shoot growth. The eastern hemlock (T. canadensis) in this study had high initial HWA pressure. In the 3 years of the study, winter low temperatures were insufficient to cause an appreciable or sustainable reduction in infestation levels. In the controls, HWA increased and hemlock growth decreased. Treatment with stem-injected imidacloprid did not provide a quick knockdown of the HWA; rather, it required time (i.e., at least 1 year). In the year after a second treatment, we observed sufficiently high HWA mortality for hemlock to resume growth. We have a high degree of confidence that a repeat treatment increased the levels of imidacloprid for the duration of efficacy observed. We recommend a 2× dosage (e.g., for trees in the 30 to 59 cm [12 to 23.6 in] size class, increase from 0.08 g A.I. to 0.16 gm A.I./cm trunk diameter at breast height [dbh]) for an increased level of efficacy to extend the injection interval (to once every 2 years) and to limit the number of wounds a tree receives to centimeters dbh/5 (dbh in/2). The new rate recommendations are reflected on the IMA-jet label amended in 2006. These results demonstrate that hemlock with high HWA pressure can be successfully treated using IMA-jet and the Arborjet Tree I.V. system.
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Winter, R., A. Fazlinezhad, S. Martins Fernandes, M. Pellegrino, X. Iriart, S. Moustafa, D. Stolfo, et al. "Poster session 3The imaging examinationP646Simulator-based testing of skill in transthoracic echoP647Clinical and echocardiographic characteristics of isolated left ventricular non-compactionP648Appropriate use criteria of transthoracic echocardiography and its clinical impact in an aged populationAnatomy and physiology of the heart and great vesselsP649Prevalence and determinants of exercise oscillatory ventilation in the EUROEX trial populationAssessment of diameters, volumes and massP650Left atrial remodeling after percutaneous left atrial appendage closureP651Global atrial performance with tyrosine kinase inhibitors in metastatic renal cell carcinomaP652Early right ventricular response to cardiac resynchronization therapy: impact on clinical outcomesP653Parameters of speckle-tracking echocardiography and biomechanical values of a dilative ascending aortaAssessments of haemodynamicsP654Right atrial hemodynamics in infants and children: observations from 3-dimensional echocardiography derived right atrial volumesAssessment of systolic functionP655One-point carotid wave intensity predicts cardiac mortality in patients with congestive heart failure and reduced ejection fractionP656Persistence of cardiac remodeling in adolescents with previous fetal growth restrictionP6572D speckle tracking-derived left ventricle global longitudinal strain and left ventricular dysfunction stages: a useful discriminator in moderate-to-severe aortic regurgitationP658Global longitudinal strain and strain rate in type two diabetes patients with chronic heart failure: relevance to circulating osteoprotegerinP659Analysis of left ventricular function in patients before and after surgical and interventional mitral valve therapyP660Left ventricular end-diastolic volume is complementary with global longitudinal strain for the prediction of left ventricular ejection fraction in echocardiographic daily practiceP661Left ventricular assist device, right ventricle function, and selection bias: the light side of the moonP662Assessment of right ventricular function in patients with anterior ST elevation myocardial infarction; a 2-d speckle tracking studyP663Right ventricular systolic function assessment in sickle cell anaemia using echocardiographyAssessment of diastolic functionP664Prognostic value of transthoracic cardiopulmonary ultrasound in cardiac surgery intensive care unitP665Comparative efficacy of renin-angiotensin system modulators on prognosis, right heart and left atrial parameters in patients with chronic heart failure and preserved left ventricular systolic functionP666Left atrial volume index is the most significant diastolic functional parameter of hemodynamic burden as measured by NT-proBNP in acute myocardial infarctionP667Preventive echocardiographic screening. preliminary dataP668Assessment of the atrial electromechanical delay and the mechanical functions of the left atrium in patients with diabetes mellitus type IIschemic heart diseaseP669Coronary flow velocity reserve by echocardiography as a measure of microvascular function: feasibility, reproducibility and agreement with PET in overweight patients with coronary artery diseaseP670Influence of cardiovascular risk in the occurrence of events in patients with negative stress echocardiographyP671Prevalence of transmural myocardial infarction and viable myocardium in chronic total occlusion (CTO) patientsP672The impact of the interleukin 6 receptor antagonist tocilizumab on mircovascular dysfunction after non st elevation myocardial infarction assessed by coronary flow reserve from a randomized studyP673Impact of manual thrombus aspiration on left ventricular remodeling: the echocardiographic substudy of the randomized Physiologic Assessment of Thrombus Aspirtion in patients with ST-segment ElevatioP674Acute heart failure in STEMI patients treated with primary percutaneous coronary intervention is related to transmural circumferential myocardial strainP675Long-term prognostic value of infarct size as assessed by cardiac magnetic resonance imaging after a first st-segment elevation myocardial infarctionHeart valve DiseasesP676Prognostic value of LV global longitudinal strain in aortic stenosis with preserved LV ejection fractionP677Importance of longitudinal dyssynchrony in low flow low gradient severe aortic stenosis patients undergoing dobutamine stress echocardiography. a multicenter study (on behalf of the HAVEC group)P678Predictive value of left ventricular longitudinal strain by 2D Speckle Tracking echocardiography, in asymptomatic patients with severe aortic stenosis and preserved ejection fractionP679Clinical and echocardiographic characteristics of the flow-gradient patterns in patients with severe aortic stenosis and preserved left ventricular ejection fractionP6802D and 3D speckle tracking assessment of left ventricular function in severe aortic stenosis, a step further from biplane ejection fractionP681Functional evaluation in aortic stenosis: determinant of exercise capacityP682Left ventricular mechanics: novel tools to evaluate left ventricular function in patients with primary mitral regurgitationP683Plasma B-type natriuretic peptide level in patients with isolated rheumatic mitral stenosisP684Quantitative assessment of severity in aortic regurgitation and the influence of elastic proprieties of thoracic aortaP685Characterization of chronic aortic and mitral regurgitation using cardiovascular magnetic resonanceP686Functional mitral regurgitation: a warning sign of underlying left ventricular systolic dysfunction in heart failure with preserved ejection fraction.P687Secondary mitral valve tenting in primary degenerative prolapse quantified by three-dimensional echocardiography predicts regurgitation recurrence after mitral valve repairP688Advanced heart failure with reduced ejection fraction and severe mitral insufficiency compensate with a higher oxygen peripheral extraction to a reduced cardiac output vs oxygen uptake response to maxP689Predictors of acute procedural success after percutaneous mitraclip implantation in patients with moderate-to-severe or severe mitral regurgitation and reduced ejection fractionP690The value of transvalvular gradients obtained by transthoracic echocardiography in estimation of severe paravalvular leakage in patients with mitral prosthetic valvesP691Characteristics of infective endocarditis in a non tertiary hospitalP692Infective endocarditis: predictors of severity in a 3-year retrospective analysisP693New echocardiographic predictors of early recurrent mitral functional regurgitation after mitraclip implantationP694Transesophageal echocardiography can be reliably used for the allocation of patients with severe aortic stenosis for tras-catheter aortic valve implantationP695Annular sizing for transcatheter aortic valve selection. A comparison between computed tomography and 3D echocardiographyP696Association between aortic dilatation, mitral valve prolapse and atrial septal aneurysm: first descriptive study.CardiomyopathiesP698Cardiac resynchronization therapy by multipoint pacing improves the acute response of left ventricular mechanics and fluid dynamics: a three-dimensional and particle image velocimetry echo studyP699Long-term natural history of right ventricular function in dilated cardiomyopathy: innocent bystander or leading actor?P700Right to left ventricular interdependence at rest and during exercise assessed by the ratio between pulmonary systolic to diastolic time in heart failure reduced ejection fractionP701Exercise strain imaging demonstrates impaired right ventricular contractile reserve in patients with hypertrophic cardiomyopathyP702Prevalence of overt left ventricular dysfunction (burn-out phase) in a portuguese population of hypertrophic cardiomyopathy, a multicentre studyP703Systolic and diastolic myocardial mechanics in hypertrophic cardiomyopathy and their link to the extent of hypertrophy, replacement fibrosis and interstitial fibrosisP704Multimodality imaging and genotype-phenotype associations in a cohort of patients with hypertrophic cardiomyopathy studied by next generation sequencing and cardiac magnetic resonanceP705Sudden cardiac death risk assessment in apical hypertrophic cardiomyopathy: do we need to add MRI to the equation?P706Prognostic value of left ventricular ejection fraction, proBNP, exercise capacity, and NYHA functional class in patients with left ventricular non-compaction cardiomyopathyP707The anti-hypertrophic microRNAs miR-1, miR-133a and miR-26b and their relationship to left ventricular hypertrophy in patients with essential hypertensionP708Prevalence of left ventricular systolic dysfunction in a portuguese population of left ventricular non-compaction cardiomyopathy, a multicentre studyP709Assessment of systolic and diastolic features in light chain amyloidosis: an echocardiographic and cardiac magnetic resonance studyP710Morbid obesity-associated hypertension identifies bariatric surgery best responders: Clinical and echocardiographic follow up studyP711Echocardiographic markera for overhydration in patients under haemodialysisP712Gender aspects of right ventricular size and function in clinically stable heart transplant patientsP713Evidence of cardiac stem cells from the left ventricular apical tip in patients undergone LVAD implant: a comparative strain-ultrastructural studySystemic diseases and other conditionsP714Speckle tracking assessment of right ventricular function is superior for differentiation of pressure versus volume overloaded right ventricleP715Prognostic value of pulmonary arterial pressure: analysis in a large dataset of timely matched non-invasive and invasive assessmentsP716Effect of the glucagon-like peptide-1 analogue liraglutide on left ventricular diastolic and systolic function in patients with type 2 diabetes: a randomised, single-blinded, crossover pilot studyP717Tissue doppler evaluation of left ventricular functions, left atrial mechanical functions and atrial electromechanical delay in juvenile idiopathic arthritisP718Echocardiographic detection of subclinical left ventricular dysfunction in patients with rheumatoid arthritisP719Left ventricular strain values are unaffected by intense training: a longitudinal, speckle-tracking studyP720Diastolic left ventricular function in autosomal dominant polycystic kidney disease: a matched-cohort, speckle-tracking echocardiographic studyP721Relationship between adiponectin level and left ventricular mass and functionP722Left atrial function is impaired in patients with multiple sclerosisMasses, tumors and sources of embolismP723Paradoxical embolization to the brain in patients with acute pulmonary embolism and confirmed patent foramen ovale with bidirectional shunt, results of prospective monitoringP724Following the European Society of Cardiology proposed echocardiographic algorithm in elective patients with clinical suspicion of infective endocarditis: diagnostic yield and prognostic implicationsP725Metastatic cardiac18F-FDG uptake in patients with malignancy: comparison with echocardiographic findingsDiseases of the aortaP726Echocardiographic measurements of aortic pulse wave velocity correlate well with invasive methodP727Assessment of increase in aortic and carotid intimal medial thickness in adolescent type 1 diabetic patientsStress echocardiographyP728Determinants and prognostic significance of heart rate variability in renal transplant candidates undergoing dobutamine stress echocardiographyP729Pattern of cardiac output vs O2 uptake ratio during maximal exercise in heart failure with reduced ejection fraction: pathophysiological insightsP730Prognostic value and predictive factors of cardiac events in patients with normal exercise echocardiographyP731Right ventricular mechanics during exercise echocardiography: normal values, feasibility and reproducibility of conventional and new right ventricular function parametersP732The added value of exercise-echo in heart failure patients: assessing dynamic changes in extravascular lung waterP733Applicability of appropriate use criteria of exercise stress echocardiography in real-life practice: what have we improved with new documents?Transesophageal echocardiographyP7343D-TEE guidance in percutaneous mitral valve interventions correcting mitral regurgitationContrast echocardiographyP735Pulmonary transit time by contrast enhanced ultrasound as parameter for cardiac performance: a comparison with magnetic resonance imaging and NT-ProBNPReal-time three-dimensional TEEP736Optimal parameter selection for anisotropic diffusion denoising filters applied to aortic valve 4d echocardiographsP737Left ventricle systolic function in non-alcoholic cirrhotic candidates for liver transplantation: a three-dimensional speckle-tracking echocardiography studyTissue Doppler and speckle trackingP738Optimizing speckle tracking echocardiography strain measurements in infants: an in-vitro phantom studyP739Usefulness of vascular mechanics in aortic degenerative valve disease to estimate prognosis: a two dimensional speckle tracking studyP740Vascular mechanics in aortic degenerative valve disease: a two dimensional speckle-tracking echocardiography studyP741Statins and vascular load in aortic valve disease patients, a speckle tracking echocardiography studyP742Is Left Bundle Branch Block only an electrocardiographic abnormality? Study of LV function by 2D speckle tracking in patients with normal ejection fractionP743Dominant inheritance of global longitudinal strain in a population of healthy and hypertensive twinsP744Mechanical differences of left atria in paroxysmal atrial fibrillation: A speckle-tracking study.P745Different distribution of myocardial deformation between hypertrophic cardiomyopathy and aortic stenosisP746Left atrial mechanics in patients with chronic renal failure. Incremental value for atrial fibrillation predictionP747Subclinical myocardial dysfunction in cancer patients: is there a direct effect of tumour growth?P748The abnormal global longitudinal strain predicts significant circumflex artery disease in low risk acute coronary syndromeP7493D-Speckle tracking echocardiography for assessing ventricular funcion and infarct size in young patients after acute coronary syndromeP750Evaluation of left ventricular dyssynchrony by echocardiograhy in patients with type 2 diabetes mellitus without clinically evident cardiac diseaseP751Differences in myocardial function between peritoneal dialysis and hemodialysis patients: insights from speckle tracking echoP752Appraisal of left atrium changes in hypertensive heart disease: insights from a speckle tracking studyP753Left ventricular rotational behavior in hypertensive patients: Two dimensional speckle tracking imaging studyComputed Tomography & Nuclear CardiologyP754Effectiveness of adaptive statistical iterative reconstruction of 64-slice dual-energy ct pulmonary angiography in the patients with reduced iodine load: comparison with standard ct pulmonary angiograP755Clinical prediction model to inconclusive result assessed by coronary computed tomography angiography." European Heart Journal – Cardiovascular Imaging 16, suppl 2 (December 2015): S102—S129. http://dx.doi.org/10.1093/ehjci/jev277.

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48

Martins Fernandes, S., L. Badano, A. Garcia Campos, T. Erdei, G. Mehdipoor, N. Hanboly, BW Michalski, et al. "Poster session 2THE IMAGING EXAMINATIONP536Appropriate use criteria of transthoracic echocardiography and its clinical impact: a continuous challengeP537Implementation of proprietary plug-ins in the DICOM-based computerized echo reporting system fuels the use of 3D echo and deformation imaging in the clinical routine of a multivendor laboratoryP538Exercise stress echocardiography appropriate use criteria: real-life cases classification ease and agreement among cardiologistsANATOMY AND PHYSIOLOGY OF THE HEART AND GREAT VESSELSP539Functional capacity in older people with normal ejection fraction correlates with left ventricular functional reserve and carotid-femoral pulse wave velocity but not with E/e and augmentation indexP540Survey of competency of practitioners for diagnosis of acute cardiopulmonary diseases manifest on chest x-rayASSESSMENT OF DIAMETERS, VOLUMES AND MASSP541Left atrium remodeling in dialysis patients with normal ejection fractionP542The prediction of postinfarction left ventricular remodeling and the role of of leptin and MCP-1 in regard to the presence of metabolic syndromeP543Ascending aorta and common carotid artery: diameters and stiffness in a group of 584 healthy subjectsAssessments of haemodynamicsP544Alternate echo parameters in patients without estimable RVSPAssessment of systolic functionP545Reduced contractile performance in heart failure with preserved ejection fraction: determination using novel preload-adjusted maximal left ventricular ejection forceP546Left ventricular dimensions and prognosis in acute coronary syndromesP547Time course of myocardial alterations in a murine model of high fat diet: A strain rate imaging studyP548Subclinical left ventricular systolic dysfunction in patients with premature ventricular contractionsP549Global myocardial strain by CMR-based feature tracking (FT) and tagging to predict development of severe left ventricular systolic dysfunction after acute st-elevation myocardial infarctionP550Echocardiographic analysis of left and right ventricular function in patients after mitral valve reconstructionP551The role of regional longitudinal strain assessment in predicting response to cardiac resynchronization therapy in patients with left ventricular systolic dysfunction and left bundle branch blockP552Speckle tracking automatic border detection improves echocardiographic evaluation of right ventricular systolic function in repaired tetralogy of fallot patients: comparison with MRI findingsP553Echocardiography: a reproducible and relevant tool in pah? intermediate results of the multicentric efort echogardiographic substudy (evaluation of prognostic factors and therapeutic targets in pah)Assessment of diastolic functionP554Relationship between left ventricular filling pressures and myocardial fibrosis in patients with uncomplicated arterial hypertensionP555Cardiac rehabilitation improves echocardiographic parameters of diastolic function in patients with ischemic heart diseaseP556Diastolic parameters in the calcified mitral annulusP557Biomarkers and echocardiography - combined weapon to diagnose and prognose heart failure with and without preserved ejection fractionP558Diastolic function changes of the maternal heart in twin and singleton pregnancyIschemic heart diseaseP559Syntax score as predictor for the correlation between epicardial adipose tissue and the severity of coronary lesions in patients with significant coronary diseaseP560Impact of strain analysis in ergonovine stress echocardiography for diagnosis vasospastic anginaP561Cardiac magnetic resonance tissue tracking: a novel method to predict infarct transmurality in acute myocardial infarctionP562Infarct size is correlated to global longitudinal strain but not left ventricular ejection fraction in the early stage of acute myocardial infarctionP563Magnetic resonance myocardial deformation assessment with tissue tracking and risk stratification in acute myocardial infarction patientsP564Increase in regional end-diastolic wall thickness by transthoracic echocardiography as a biomarker of successful reperfusion in anterior ST elevation acute myocardial infarctionP565Mitral regurgitation is associated with worse long-term prognosis in ST-segment elevation myocardial infarction treated with primary percutaneous coronary interventionP566Statistical significance of 3D motion and deformation indexes for the analysis of LAD infarctionHeart valve DiseasesP567Paradoxical low gradient aortic stenosis: echocardiographic progression from moderate to severe diseaseP568The beneficial effects of TAVI in mitral insufficiencyP569Impact of thoracic aortic calcification on the left ventricular hypertrophy and its regression after aortic valve replacement in patients with severe aortic stenosisP570Additional value of exercise-stress echocardiography in asymptomatic patients with aortic valve stenosisP571Valvulo-arterial impedance in severe aortic stenosis: a dual imaging modalities studyP572Left ventricular mechanics: novel tools to evaluate left ventricular performance in patients with aortic stenosisP573Comparison of long-term outcome after percutaneous mitral valvuloplasty versus mitral valve replacement in moderate to severe mitral stenosis with left ventricular dysfunctionP574Incidence of de novo left ventricular dysfunction in patient treated with aortic valve replacement for severe aortic regurgitationP575Transforming growth factor-beta dependant progression of the mitral valve prolapseP576Quantification of mitral regurgitation with multiple jets: in vitro validation of three-dimensional PISA techniqueP577Impaired pre-systolic contraction and saddle-shape deepening of mitral annulus contributes to atrial functional regurgitation: a three-dimensional echocardiographic studyP578Incidence and determinants of left ventricular (lv) reverse remodeling after MitraClip implantation in patients with moderate-to severe or severe mitral regurgitation and reduced lv ejection fractionP579Severe functional tricuspid regurgitation in rheumatic heart valve disease. New insights from 3D transthoracic echocardiographyP58015 years of evolution of the etiologic profile for prosthetic heart valve replacement through an echocardiography laboratoryP581The role of echocardiography in the differential diagnosis of prolonged fever of unknown originP582Predictive value for paravalvular regurgitation of 3-dimensional anatomic aortic annulus shape assessed by multidetector computed tomography post-transcatheter aortic valve replacementP583The significance and advantages of echo and CT imaging & measurement at transcatherter aortic valve implantation through the left common carotid accessP584Comparison of the self-expandable Medtronic CoreValve versus the balloon-expandable Edwards SAPIEN bioprostheses in high-risk patients undergoing transfemoral aortic valve implantationP585The impact of transcatheter aortic valve implantation on mitral regurgitation severityP586Echocardiographic follow up of children with valvular lesions secondary to rheumatic heart disease: Data from a prospective registryP587Valvular heart disease and different circadian blood pressure profilesCardiomyopathiesP588Comparison of transthoracic echocardiography versus cardiac magnetic for implantable cardioverter defibrillator therapy in primary prevention strategy dilated cardiomyopathy patientsP589Incidence and prognostic significance of left ventricle reverse remodeling in a cohort of patients with idiopathic dilated cardiomyopathyP590Early evaluation of diastolic function in fabry diseaseP591Echocardiographic predictors of atrial fibrillation development in hypertrophic cardiomyopathyP592Altered Torsion mechanics in patients with hypertrophic cardiomyopathy: LVOT-obstruction is the topdog?P593Prevention of sudden cardiac death in hypertrophic cardiomyopathy: what has changed in the guidelines?P594Coronary microcirculatory function as determinator of longitudinal systolic left ventricular function in hypertrophic cardiomyopathyP595Detection of subclinical myocardial dysfunction by tissue Doppler ehocardiography in patients with muscular dystrophiesP596Speckle tracking myocardial deformation analysis and three dimensional echocardiography for early detection of chemotherapy induced cardiac dysfunction in bone marrow transplantation patientsP597Left ventricular non compaction or hypertrabeculation: distinguishing between physiology and pathology in top-level athletesP598Role of multi modality imaging in familiar screening of Danon diseaseP599Early impairment of global longitudinal left ventricular systolic function independently predicts incident atrial fibrillation in type 2 diabetes mellitusP600Fetal cardiovascular programming in maternal diabetes mellitus and obesity: insights from deformation imagingP601Longitudinal strain stress echo evaluation of aged marginal donor hearts: feasibility in the Adonhers project.P602Echocardiographic evaluation of left ventricular size and function following heart transplantation - Gender mattersSystemic diseases and other conditionsP603The impact of septal kinetics on adverse ventricular-ventricular interactions in pulmonary stenosis and pulmonary arterial hypertensionP604Improvement in right ventricular mechanics after inhalation of iloprost in pulmonary hypertensionP605Does the treatment of patients with metabolic syndrome correct the right ventricular diastolic dysfunction?P606Predictors of altered cardiac function in breast cancer survivors who were treated with anthracycline-based therapyP607Prevalence and factors related to left ventricular systolic dysfunction in asymptomatic patients with rheumatoid arthritis: a prospective tissue-doppler echocardiography studyP608Diastolic and systolic left ventricle dysfunction presenting different prognostic implications in cardiac amyloidosisP609Diagnostic accuracy of Bedside Lung Ultrasonography in Emergency (BLUE) protocol for the diagnosis of pulmonary embolismP610Right ventricular systolic dysfunction and its incidence in breast cancer patients submitted to anthracycline therapyP611Right ventricular dysfunction is an independent predictor of survival among cirrhotic patients undergoing liver transplantCongenital heart diseaseP612Hypoplasia or absence of posterior leaflet: a rare congenital anomaly of the mitral valveP613ECHO screening for Barlow disease in proband's relativesDiseases of the aortaP614Aortic size distribution and prognosis in an unselected population of patients referred for standard transthoracic echocardiographyP615Abdominal aorta aneurysm ultrasonographic screening in a large cohort of asympromatic volounteers in an Italian urban settingP616Thoracic aortic aneurysm and left ventricular systolic functionStress echocardiographyP617Wall motion score index, systolic mitral annulus velocity and left ventricular mass predicted global longitudinal systolic strain in 238 patients examined by stress echocardiographyP618Prognostic parameters of exercise-induced severe mitral valve regurgitation and exercise-induced systolic pulmonary hypertensionP619Risk stratification after myocardial infarction: prognostic value of dobutamine stress echocardiographyP620relationship between LV and RV myocardial contractile reserve and metabolic parameters during incremental exercise and recovery in healthy children using 2-D strain analysisP621Increased peripheral extraction as a mechanism compensatory to reduced cardiac output in high risk heart failure patients with group 2 pulmonary hypertension and exercise oscillatory ventilationP622Can exercise induced changes in cardiac synchrony predict response to CRT?Transesophageal echocardiographyP623Fully-automated software for mitral valve assessment in chronic mitral regurgitation by three-dimensional transesophageal echocardiographyP624Real-time 3D transesophageal echocardiography provides more accurate orifice measurement in percutaneous transcatheter left atrial appendage closureP625Percutaneous closure of left atrial appendage: experience of 36 casesReal-time three-dimensional TEEP626Real-time three-dimensional transesophageal echocardiography during pulmonary vein cryoballoon ablation for atrial fibrilationP627Three dimensional ultrasound anatomy of intact mitral valve and in the case of type 2 disfunctionTissue Doppler and speckle trackingP629Left ventricle wall motion tracking from echocardiographic images by a non-rigid image registrationP630The first experience with the new prototype of a robotic system for remote echocardiographyP631Non-invasive PCWP influence on a loop diuretics regimen monitoring model in ADHF patients.P632Normal range of left ventricular strain, dimensions and ejection fraction using three-dimensional speckle-tracking echocardiography in neonatesP633Circumferential ascending aortic strain: new parameter in the assessment of arterial stiffness in systemic hypertensionP634Aortic vascular properties in pediatric osteogenesis imperfecta: a two-dimensional echocardiography derived aortic strain studyP635Assessment of cardiac functions in children with sickle cell anemia: doppler tissue imaging studyP636Assessment of left ventricular function in type 1 diabetes mellitus patients by two-dimensional speckle tracking echocardiography: relation to duration and control of diabetesP637A study of left ventricular torsion in l-loop ventricles using speckle-tracking echocardiographyP638Despite No-Reflow, global and regional longitudinal strains assessed by two-dimensional speckle tracking echocardiography are predictive indexes of left ventricular remodeling in patients with STEMIP639The function of reservoir of the left atrium in patients with medicaly treated arterial hypertensionP640The usefulness of speckle tracking analysis for predicting the recovery of regional systolic function after myocardial infarctionP641Two dimensional speckle tracking echocardiography in assessment of left ventricular systolic function in patients with rheumatic severe mitral regurgitation and normal ejection fractionP642The prediction of left-main and tripple vessel coronary artery disease by tissue doppler based longitudinal strain and strain rate imagingP643Role of speckle tracking in predicting arrhythmic risk and occurrence of appropriate implantable defibrillator Intervention in patients with ischemic and non-ischemic cardiomyopathyComputed Tomography & Nuclear CardiologyP644Cardiac adrenergic activity in patients with nonischemic dilated cardiomyopathy. Correlation with echocardiographyP645Different vascular territories and myocardial ischemia, there is a gradient of association?" European Heart Journal – Cardiovascular Imaging 16, suppl 2 (December 2015): S73—S101. http://dx.doi.org/10.1093/ehjci/jev278.

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Migliore, Federico, Patrizia Aruta, Antonella Cecchetto, Sabino Iliceto, Gino Gerosa, and Domenico Catanzariti. "Extraction of left bundle branch pacing lead: a safe procedure?" EP Europace, June 6, 2021. http://dx.doi.org/10.1093/europace/euab082.

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50

Little, Carol-Rose. "Left branch extraction, object shift, and freezing effects in Tumbalá Ch’ol." Glossa: a journal of general linguistics 5, no. 1 (2020). http://dx.doi.org/10.5334/gjgl.988.

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