Artículos de revistas sobre el tema "ELECTROCARDIOGRAM FEATURES"
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Filatova, Anna Yevhenivna, Anatoliy Ivanovych Povoroznyuk, Bohdan Petrovych Nosachenko y Mohamad Fahs. "Synthesis of an integral signal for solving the problem of morphological analysis of electrocardiograms". Herald of Advanced Information Technology 5, n.º 4 (28 de diciembre de 2022): 263–74. http://dx.doi.org/10.15276/hait.05.2022.19.
Texto completoMadias, John E. "Electrocardiogram features predictive of takotsubo syndrome". Clinical Research in Cardiology 108, n.º 2 (26 de julio de 2018): 221. http://dx.doi.org/10.1007/s00392-018-1338-8.
Texto completoYang, Xiao y Zhong Ji. "Automatic Classification Method of Arrhythmias Based on 12-Lead Electrocardiogram". Sensors 23, n.º 9 (28 de abril de 2023): 4372. http://dx.doi.org/10.3390/s23094372.
Texto completoSingh, Yogendra Narain y Sanjay Kumar Singh. "Identifying Individuals Using Eigenbeat Features of Electrocardiogram". Journal of Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/539284.
Texto completoWu, Shun-Chi, Peng-Tzu Chen y Jui-Hsuan Hsieh. "Spatiotemporal features of electrocardiogram for biometric recognition". Multidimensional Systems and Signal Processing 30, n.º 2 (1 de junio de 2018): 989–1007. http://dx.doi.org/10.1007/s11045-018-0593-1.
Texto completoAl-Yarimi, Fuad Ali Mohammed, Nabil Mohammed Ali Munassar y Fahd N. Al-Wesabi. "Electrocardiogram stream level correlated patterns as features to classify heartbeats for arrhythmia prediction". Data Technologies and Applications 54, n.º 5 (26 de octubre de 2020): 685–701. http://dx.doi.org/10.1108/dta-03-2020-0076.
Texto completoDAS, MANAB KUMAR y SAMIT ARI. "ELECTROCARDIOGRAM BEAT CLASSIFICATION USING S-TRANSFORM BASED FEATURE SET". Journal of Mechanics in Medicine and Biology 14, n.º 05 (agosto de 2014): 1450066. http://dx.doi.org/10.1142/s0219519414500663.
Texto completoJang, Jong-Hwan, Tae Young Kim, Hong-Seok Lim y Dukyong Yoon. "Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder". PLOS ONE 16, n.º 12 (1 de diciembre de 2021): e0260612. http://dx.doi.org/10.1371/journal.pone.0260612.
Texto completoA. Elsayed, Hend, Ahmed F. Abed y Shawkat K. Guirguis. "Comparative Features Extraction Techniques for Electrocardiogram Images Regression". Research Journal of Applied Sciences, Engineering and Technology 14, n.º 4 (15 de abril de 2017): 132–36. http://dx.doi.org/10.19026/rjaset.14.4156.
Texto completoIllig, David, Aaron Lewicke y Stephanie Schuckers. "Electrocardiogram features for detection of abnormal cardiac events". Journal of Electrocardiology 43, n.º 6 (noviembre de 2010): 642–43. http://dx.doi.org/10.1016/j.jelectrocard.2010.10.009.
Texto completoZawadzki, Jacek, Aleksandra Gajek, Jakub Adamowicz, Jacek Gajek, Agnieszka Sławuta, Piotr Strózik, Bartek Skonieczny y Agnieszka Szczepaniak. "The specific His-bundle pacing features in electrocardiogram". Journal of Electrocardiology 51, n.º 6 (noviembre de 2018): 1171. http://dx.doi.org/10.1016/j.jelectrocard.2018.10.038.
Texto completoZawadzki, Jacek, Aleksandra Gajek, Jakub Adamowicz, Jacek Gajek, Agnieszka Sławuta, Piotr Strózik, Bartek Skonieczny y Agnieszka Szczepaniak. "The specific His-bundle pacing features in electrocardiogram". Journal of Electrocardiology 53 (marzo de 2019): e11. http://dx.doi.org/10.1016/j.jelectrocard.2019.01.040.
Texto completoSyarief, Mohammad, Mulaab Mulaab y Husni Husni. "THE IMPACT OF FEATURE SELECTION ON THE PROBABILISTIC MODEL ON ARRHYTHMIA DIAGNOSIS". International Journal of Science, Engineering and Information Technology 6, n.º 2 (31 de julio de 2022): 296–302. http://dx.doi.org/10.21107/ijseit.v6i2.15265.
Texto completoGimayev, R. Kh, V. I. Ruzov, V. A. Razin y E. E. Yudina. "Gender-age features of cardiac electrophysiological changes IN patients with arterial hypertension." "Arterial’naya Gipertenziya" ("Arterial Hypertension") 15, n.º 1 (28 de febrero de 2009): 57–64. http://dx.doi.org/10.18705/1607-419x-2009-15-1-57-64.
Texto completoBernardini, Andrea, Lia Crotti, Iacopo Olivotto y Franco Cecchi. "Diagnostic and prognostic electrocardiographic features in patients with hypertrophic cardiomyopathy". European Heart Journal Supplements 25, Supplement_C (26 de abril de 2023): C173—C178. http://dx.doi.org/10.1093/eurheartjsupp/suad074.
Texto completoCLAYTON, R. H., A. MURRAY y R. W. F. CAMPBELL. "Objective features of the surface electrocardiogram during ventricular tachyarrhythmias". European Heart Journal 16, n.º 8 (agosto de 1995): 1115–19. http://dx.doi.org/10.1093/oxfordjournals.eurheartj.a061055.
Texto completoSree Janani, KK y RS Sabeenian. "Transfer learning-based electrocardiogram classification using wavelet scattered features". Biomedical and Biotechnology Research Journal (BBRJ) 7, n.º 1 (2023): 52. http://dx.doi.org/10.4103/bbrj.bbrj_341_22.
Texto completoNagarakanti, Rangadham y Kavin Raj. "Wide Complex Tachycardia in Arrhythmogenic Right Ventricular Cardiomyopathy: Electrocardiogramand Intracardiac Electrogram Features". Indian Journal of Clinical Cardiology 3, n.º 1 (21 de febrero de 2022): 47–50. http://dx.doi.org/10.1177/26324636221080595.
Texto completoKossaify, Antoine, Nadir Saoudi y Sami Succar. "Electrocardiographic Characteristics of Ventricular Arrhythmia Originating from the Left Coronary Cusp". Case Reports in Medicine 2011 (2011): 1–2. http://dx.doi.org/10.1155/2011/935951.
Texto completoHAGIWARA, YUKI y OLIVER FAUST. "NONLINEAR ANALYSIS OF CORONARY ARTERY DISEASE, MYOCARDIAL INFARCTION, AND NORMAL ECG SIGNALS". Journal of Mechanics in Medicine and Biology 17, n.º 07 (noviembre de 2017): 1740006. http://dx.doi.org/10.1142/s0219519417400061.
Texto completoHanis Hussin, Amerah, Ahmad Syukri Abdul Aziz y Megat Syahirul Amin Megat Ali. "Profiling of Myocardial Infarction History from Electrocardiogram using Artificial Neural Network". International Journal of Engineering & Technology 7, n.º 4.11 (2 de octubre de 2018): 236. http://dx.doi.org/10.14419/ijet.v7i4.11.20814.
Texto completoHanis Hussin, Amerah, Ahmad Syukri Abdul Aziz y Megat Syahirul Amin Megat Ali. "Profiling of Myocardial Infarction History from Electrocardiogram using Artificial Neural Network". International Journal of Engineering & Technology 7, n.º 4.11 (2 de octubre de 2018): 276. http://dx.doi.org/10.14419/ijet.v7i4.11.21392.
Texto completoAhmad Khorsheed, Eman. "Detection of Abnormal electrocardiograms Based on Various Feature Extraction methods". Academic Journal of Nawroz University 12, n.º 3 (2 de julio de 2023): 111–19. http://dx.doi.org/10.25007/ajnu.v12n3a1818.
Texto completoKozhevnikova, Olga V., Eka A. Abashidze, Andrey P. Fisenko, Elina E. Akhmedova, Olga S. Logacheva, Anton S. Balabanov, Aleksandra E. Paltseva et al. "Features of electrocardiogram in school-age children with COVID-19". Russian Pediatric Journal 24, n.º 6 (19 de enero de 2022): 372–80. http://dx.doi.org/10.46563/1560-9561-2021-24-6-372-380.
Texto completoShuvalova, N. V., G. L. Drandrov, S. V. Lezhenina, A. V. Karpunina, A. V. Moskovskiy, K. A. Malova y A. V. Rybin. "SOME PHYSIOLOGICAL FEATURES OF ELECTROCARDIOGRAM INDICATORS IN ATHLETES IN ADOLESCENCE". Современные проблемы науки и образования (Modern Problems of Science and Education), n.º 3 2020 (2020): 80. http://dx.doi.org/10.17513/spno.29902.
Texto completoAugustyniak, Piotr. "Adaptive Sampling of the Electrocardiogram Based on Generalized Perceptual Features". Sensors 20, n.º 2 (9 de enero de 2020): 373. http://dx.doi.org/10.3390/s20020373.
Texto completoThach, Terence Huy, Sarah Blissett y Matthew Sibbald. "Worked examples for teaching electrocardiogram interpretation: Salient or discriminatory features?" Medical Education 54, n.º 8 (23 de marzo de 2020): 720–26. http://dx.doi.org/10.1111/medu.14066.
Texto completoIbiyemi, T. S. "A Novel Data Compression Technique for Electrocardiogram Classification". Engineering in Medicine 15, n.º 1 (enero de 1986): 35–38. http://dx.doi.org/10.1243/emed_jour_1986_015_010_02.
Texto completoBelle, Ashwin, Rosalyn Hobson Hargraves y Kayvan Najarian. "An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram". Computational and Mathematical Methods in Medicine 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/528781.
Texto completoJain, Paras, CH N. V. S. Praneeth, Iragavarapu Kannan, Potluri Harsha Sai y Jaba Deva Krupa Abel. "Electrocardiogram Beat Classification Using Data Filtration Technique and Support Vector Machine". Journal of Computational and Theoretical Nanoscience 17, n.º 8 (1 de agosto de 2020): 3613–20. http://dx.doi.org/10.1166/jctn.2020.9240.
Texto completoGraupe, D., M. H. Graupe, Y. Zhong y R. K. Jackson. "Blind adaptive filtering for non-invasive extraction of the fetal electrocardiogram and its non-stationarities". Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 222, n.º 8 (1 de noviembre de 2008): 1221–34. http://dx.doi.org/10.1243/09544119jeim417.
Texto completoSayed Ismail, Sharifah Noor Masidayu, Nor Azlina Ab. Aziz, Siti Zainab Ibrahim, Sophan Wahyudi Nawawi, Salem Alelyani, Mohamed Mohana y Lee Chia Chun. "Evaluation of electrocardiogram: numerical vs. image data for emotion recognition system". F1000Research 10 (30 de mayo de 2022): 1114. http://dx.doi.org/10.12688/f1000research.73255.2.
Texto completoSayed Ismail, Sharifah Noor Masidayu, Nor Azlina Ab. Aziz, Siti Zainab Ibrahim, Sophan Wahyudi Nawawi, Salem Alelyani, Mohamed Mohana y Lee Chia Chun. "Evaluation of electrocardiogram: numerical vs. image data for emotion recognition system". F1000Research 10 (4 de noviembre de 2021): 1114. http://dx.doi.org/10.12688/f1000research.73255.1.
Texto completoLee, Kar Fye Alvin, Elliot Chan, Josip Car, Woon-Seng Gan y Georgios Christopoulos. "Lowering the Sampling Rate: Heart Rate Response during Cognitive Fatigue". Biosensors 12, n.º 5 (10 de mayo de 2022): 315. http://dx.doi.org/10.3390/bios12050315.
Texto completoVolobuev, A., P. Romanchuk, I. Davydkin y M. Dmitrieva. "Some features of the reflection of myocardial ischemia on the electrocardiogram". Vrach 31, n.º 10 (2020): 19–21. http://dx.doi.org/10.29296/25877305-2020-10-03.
Texto completoLi, Hongzu y Pierre Boulanger. "Structural Anomalies Detection from Electrocardiogram (ECG) with Spectrogram and Handcrafted Features". Sensors 22, n.º 7 (23 de marzo de 2022): 2467. http://dx.doi.org/10.3390/s22072467.
Texto completoRohan, Remalli, D. Santhosh Kumar y Srinivasa Rao Patri. "Various Methods for Identification of Obstructive Sleep Apnea Using Electrocardiogram Features". Journal of scientific research 64, n.º 01 (2020): 169–277. http://dx.doi.org/10.37398/jsr.2020.640151.
Texto completoNanjundegowda, Raghu y Vaibhav Meshram. "Arrhythmia Detection Based on Hybrid Features of T-wave in Electrocardiogram". International Journal of Intelligent Engineering and Systems 11, n.º 1 (28 de febrero de 2018): 153–62. http://dx.doi.org/10.22266/ijies2018.0228.16.
Texto completoNIEUWENHUIZEN, C. L. C., H. A. Ph HARTOG y E. MATTHIJSSEN. "New diagnostic features in the four lead electrocardiogram of angina pectoris." Acta Medica Scandinavica 98, n.º 6 (24 de abril de 2009): 468–99. http://dx.doi.org/10.1111/j.0954-6820.1939.tb11023.x.
Texto completoJuanni, Hou, Dachun Yang, De Li y Haifeng Pei. "GW27-e0593 New features of electrocardiogram in arrhythmogenic right ventricular cardiomyopathy". Journal of the American College of Cardiology 68, n.º 16 (octubre de 2016): C118. http://dx.doi.org/10.1016/j.jacc.2016.07.465.
Texto completoXue, Joel. "New morphology features of pediatric long-QT electrocardiogram by signal decomposition". Journal of Electrocardiology 38, n.º 4 (octubre de 2005): 38–39. http://dx.doi.org/10.1016/j.jelectrocard.2005.06.053.
Texto completoZadeh, Ataollah Ebrahim, Ali Khazaee y Vahid Ranaee. "Classification of the electrocardiogram signals using supervised classifiers and efficient features". Computer Methods and Programs in Biomedicine 99, n.º 2 (agosto de 2010): 179–94. http://dx.doi.org/10.1016/j.cmpb.2010.04.013.
Texto completoAarathi, S. y Dr S. Vasundra. "Regression Heuristics by Optimal Tridimensional Features of Electrocardiogram for Arrhythmia Detection". International Journal of Engineering and Advanced Technology 9, n.º 1s5 (30 de diciembre de 2019): 147–58. http://dx.doi.org/10.35940/ijeat.a1036.1291s519.
Texto completoRajani, A. "Denoising of ECG Signal using UFIR Smoothing with Notch Filter". International Journal for Research in Applied Science and Engineering Technology 9, n.º 12 (31 de diciembre de 2021): 2115–22. http://dx.doi.org/10.22214/ijraset.2021.39687.
Texto completoVakhnenko, Yu V., I. E. Dorovskikh, E. N. Gordienko y M. A. Chernykh. "Some topical aspects of the problem of "athlete’s heart" (review). Part II". Bulletin Physiology and Pathology of Respiration, n.º 79 (2 de abril de 2021): 127–40. http://dx.doi.org/10.36604/1998-5029-2021-79-127-140.
Texto completoSharma, Pragya, Zijing Zhang, Thomas B. Conroy, Xiaonan Hui y Edwin C. Kan. "Attention Detection by Heartbeat and Respiratory Features from Radio-Frequency Sensor". Sensors 22, n.º 20 (21 de octubre de 2022): 8047. http://dx.doi.org/10.3390/s22208047.
Texto completoCrescenzi, Cinzia, Elisa Silvetti, Fabiana Romeo, Annamaria Martino, Edoardo Bressi, Germana Panattoni, Matteo Stefanini et al. "The electrocardiogram in non-ischaemic-dilated cardiomyopathy". European Heart Journal Supplements 25, Supplement_C (26 de abril de 2023): C179—C184. http://dx.doi.org/10.1093/eurheartjsupp/suad043.
Texto completoMohebbanaaz, Mohebbanaaz, Y. Padma Sai y L. V. Rajani Kumari. "Detection of cardiac arrhythmia using deep CNN and optimized SVM". Indonesian Journal of Electrical Engineering and Computer Science 24, n.º 1 (1 de octubre de 2021): 217. http://dx.doi.org/10.11591/ijeecs.v24.i1.pp217-225.
Texto completoSUCHETHA, M. y N. KUMARAVEL. "CLASSIFICATION OF ARRHYTHMIA IN ELECTROCARDIOGRAM USING EMD BASED FEATURES AND SUPPORT VECTOR MACHINE WITH MARGIN SAMPLING". International Journal of Computational Intelligence and Applications 12, n.º 03 (septiembre de 2013): 1350015. http://dx.doi.org/10.1142/s1469026813500156.
Texto completoDas, Manab Kumar y Samit Ari. "ECG Beats Classification Using Mixture of Features". International Scholarly Research Notices 2014 (17 de septiembre de 2014): 1–12. http://dx.doi.org/10.1155/2014/178436.
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