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Journal articles on the topic 'Electrocardiogram'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 October 2024

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1

Wei, Ying Chieh, Ying Yu Wei, Shaang Tzuu Wey, and Ling Sheng Jang. "Design of a Programmable ECG Generator Using a Dynamical Model." Applied Mechanics and Materials 311 (February 2013): 485–90. http://dx.doi.org/10.4028/www.scientific.net/amm.311.485.

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This article is to design and develop a programming electrocardiogram (ECG) generator. It can be used to test the efficiency of algorithms and to calibration and maintenance of electrocardiograph equipment. We simplified and modified the three coupled ordinary differential equations of McSharry’s model to single differential equation to generate the synthetic ECG waveforms. This generator can provide the adjusted amplitude, heart rate, QRS-complex slopes, and P- and T-wave position parameters. The system can set the rage of the average gear rate from 20 to 120 beat per minute (BPM) with an adjustable variation of 1 BPM. The parameters of the adjusted synthetic ECG model can be stored in Flash memory of the system through Universal Serial Bus (USB) 2.0 interface. The results were generated four different ECG waveforms for test which are Lead I, Lead II, hyperkalaemia and left bundle branch block. According to the experimental results, the system can not only generate the ECG waveforms of the setting heart rate but also can adjust the different types of ECG waveforms. ECG generator will generate the synthetic electrocardiograms for testing the electrocardiogram analytic algorithms. ECG generator will generate the synthetic electrocardiograms for testing the electrocardiogram analytic algorithms.

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Peshkin, E. A., and A. S. Gulyaeva. "The electrocardiogram of ferrets during early postnatal ontogenesis." International bulletin of Veterinary Medicine, no. 4 (December 30, 2021): 151–56. http://dx.doi.org/10.52419/issn2072-2419.2021.4.151.

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In experimental researches, ferrets are used as model animals – an alternative to larger predators and rodents in studying various pathologies. Ferrets are exotic pets, and the effect of their domestication manifests itself in the development of various cardiovascular diseases. An electrocardiographic study allows to reveal already acquired heart pathologies such as arrhythmias in adult small animals. The most striking physiological adaptation to new living conditions is observed in ferrets in the early postnatal period. Knowledge of characteristics of the ferrets’ electrocardiogram during this period will help to identify congenital cardiac diseases. The aim of the study was to examine electrocardiograms of ferrets at the age of one month and compare the results obtained with adult small animals. Electrocardiograms were recorded in standard bipolar limb leads on a 12-channel computer electrocardiograph in the sternal body position. The analysis of the morphology of the P-wave, QRS complex, and T-wave was carried out, the characteristics of the amplitude indicators and time intervals was presented. It was revealed that the P-wave was predominantly peaked with the highest amplitude in the second lead, the complex of initial ventricular activity was represented by a singlephase R-wave; in some animals, the T-wave was biphasic in leads II and III. A high elevation of the ST segment was recorded on the electrocardiogram of all the small animals. The results obtained showed that significant changes were not observed in the electrocardiogram of one-month-old ferrets in comparison with adult healthy small animals, so their electrocardiogram described can be considered normal for their age.

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Colombo, Jamie N., Ricardo A. Samson, Santiago O. Valdes, Omar Meziab, David Sisk, and Scott E. Klewer. "Decreased false-positive adolescent pre-athletic screening with Seattle Criteria-interpreted electrocardiograms." Cardiology in the Young 27, no. 3 (June 20, 2016): 512–17. http://dx.doi.org/10.1017/s104795111600086x.

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AbstractSudden cardiac arrest is a rare but devastating cause of death in young adults. Electrocardiograms may detect many causes of sudden cardiac arrest, but are not routinely included in pre-athletic screening in the United States of America partly because of high rates of false-positive interpretation. To improve electrocardiogram specificity for identifying cardiac conditions associated with sudden cardiac arrest, an expert panel developed refined criteria known as the Seattle Criteria. Ours is the first study to compare standard electrocardiogram criteria with Seattle Criteria in 11- to 13-year-olds. In total, 1424 students completed the pre-athletic screening and electrocardiogram; those with a positive screen or abnormal electrocardiogram interpreted by a paediatric electrophysiologist completed further work-up. Electrocardiograms referred for additional evaluation were re-interpreted by a paediatric electrophysiologist using Seattle Criteria. Electrocardiogram abnormalities were identified in 98 (6.9%); Seattle Criteria identified 28 (2.0%). Formal evaluation confirmed four students at risk for sudden cardiac arrest (0.3%): long QT syndrome (n=2), Wolff–Parkinson–White (n=1), and pulmonary hypertension (n=1). All students with at-risk phenotypes for sudden cardiac arrest were identified by both standard electrophysiologist and Seattle Criteria. The false-positive interpretation rate decreased from 6.6 to 1.7% with Seattle Criteria. Downstream costs associated with screening using standard paediatric electrocardiogram interpretations and Seattle Criteria were projected at $24 versus $7, respectively. In conclusion, using Seattle Criteria for electrocardiogram interpretation decreases the rate of false-positive results compared with standard interpretation without omitting true-positive electrocardiogram findings. This may decrease unnecessary referrals and costs associated with formal cardiology evaluation.

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Oslopov, V. N., A. R. Sadykova, and T. S. Fedoseeva. "Limitations of automated computer electrocardiogram analysis." Kazan medical journal 93, no. 4 (August 15, 2012): 687–91. http://dx.doi.org/10.17816/kmj1574.

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Aim. To draw the attention of physicians to the need for careful analysis of electrocardiograms, especially those obtained by using an automatic analyzer, with the obligatory account of the clinical picture of the disease. Methods. Normal electrocardiography, electrocardiography with the usage of a diagnostic system «Valenta», echocardiography, clinical examination of a patient with fibrosing alveolitis. Results. In the patient with fibrosing alveolitis the automatic analyzer of electrocardiograms «Valenta» misinterpreted the 3S-type of the electrocardiogram as a left anterior fascicular bundle branch block, and the doctor-functionalist did not notice the error. Taking into account the clinical picture of disease and monitoring of the dynamics of electrocardiogram the misinterpretation error was corrected. Presented were the arguments for understanding the pathogenesis of changes in the electrocardiogram in a patient with progressive Hamman-Rich disease. Conclusion. Diagnostic algorithms for automated interpretation of the electrocardiogram have limitations in terms of universal recognition of heart disease; the electrocardiogram report, even in the presence of the auto-interpretation, must be a formulated by a physician taking into account both the clinical picture of the disease as well as other diagnostic methods of patient examination.

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Wei, Yanli, Ying Zhu, Xin Wen, Qing Rui, and Wei Hu. "Intracavitary Electrocardiogram Guidance Aids Excavation of Rhythm Abnormalities in Patients with Occult Heart Disease." Journal of Healthcare Engineering 2021 (October 15, 2021): 1–11. http://dx.doi.org/10.1155/2021/2230383.

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In this paper, the analysis of intracavitary electrocardiograms is used to guide the mining of abnormal cardiac rhythms in patients with hidden heart disease, and the algorithm is improved to address the data imbalance problem existing in the abnormal electrocardiogram signals, and a weight-based automatic classification algorithm for deep convolutional neural network electrocardiogram signals is proposed. By preprocessing the electrocardiogram data from the MIT-BIH arrhythmia database, the experimental dataset training algorithm model is obtained, and the algorithm model is migrated into the project. In terms of system design and implementation, by comparing the advantages and disadvantages of the electrocardiogram monitoring system platform, the overall design of the system was carried out in terms of functional and performance requirements according to the system realization goal, and a mobile platform system capable of classifying common abnormal electrocardiogram signals was developed. The system is capable of long-term monitoring and can invoke the automatic classification algorithm model of electrocardiogram signals for analysis. In this paper, the functional logic test and performance test were conducted on the main functional modules of the system. The test results show that the system can run stably and monitor electrocardiogram signals for a long time and can correctly call the deep convolutional neural network-based automatic electrocardiogram signal classification algorithm to analyze the electrocardiogram signals and achieve the requirements of displaying the electrocardiogram signal waveform, analyzing the heartbeat type, and calculating the average heart rate, which achieves the goal of real-time continuous monitoring and analysis of the electrocardiogram signals.

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6

Popov, A. O., O. YE Kirkach, and T. R. Montrin. "Application of wavelet analysis in the detection of R-teeth electrocardiograms to assess heart rate variability." Electronics and Communications 15, no. 5 (March 29, 2010): 132–36. http://dx.doi.org/10.20535/2312-1807.2010.58.5.285102.

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This work considers preliminary processing of electrocardiography signals for heart rate variability analysis. The main attention is paid to the methods of R-peaks’ time-localization in electrocardiogram. The method of R-peaks’ search based on wavelet transform of the electrocardiogram is proposed. As a result of using this method 98% of R-peaks in the real electrocardiograms were detected correctly

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7

Skuratova, N. A. "REPOLARIZATION DISORDERS ON ELECTROCARDIOGRAM IN ADOLESCENTS." Health and Ecology Issues, no. 3 (September 28, 2017): 90–96. http://dx.doi.org/10.51523/2708-6011.2017-14-3-20.

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Objective: to demonstrate clinical cases using fragments of electrocardiograms in adolescents with repolarization disorders on the electrocardiogram. Material and methods. Clinical cases and fragments of ECG of children with repolarization disorders on the electrocardiogram have been presented. Results. Various functional tests make it possible to get important information for the differential diagnosis between the norm and pathology. Conclusion. Repolarization disorders in adolescents may be due to a number of reasons, so in-depth cardiac examination may be needed.

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Arunamata, Alisa A., Charles T. Nguyen, Scott R. Ceresnak, Anne M. Dubin, Inger L. Olson, Daniel J. Murphy, and Elif S. Selamet Tierney. "Utility of serial 12-lead electrocardiograms in children with Marfan syndrome." Cardiology in the Young 28, no. 8 (July 4, 2018): 1009–13. http://dx.doi.org/10.1017/s1047951118000707.

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AbstractObjectivesThe goal of this study was to assess the utility of serial electrocardiograms in routine follow-up of paediatric Marfan patients.MethodsChildren ⩽18 years who met the revised Ghent criteria for Marfan syndrome and received a 12-lead electrocardiogram and echocardiogram within a 3-month period were included. Controls were matched by age, body surface area, gender, race, and ethnicity, and consisted of patients assessed in clinic with a normal cardiac evaluation. Demographic, clinical, echocardiographic, and electrocardiographic data were collected.ResultsA total of 45 Marfan patients (10.8 [2.4–17.1] years) and 37 controls (12.8 [1.3–17.1] years) were included. Left atrial enlargement and left ventricular hypertrophy were more frequently present on 12-lead electrocardiogram of Marfan patients compared with controls (12 (27%) versus 0 (0%), p<0.001; and 8 (18%) versus 0 (0%), p=0.008, respectively); however, only two patients with left atrial enlargement on 12-lead electrocardiogram were confirmed to have left atrial enlargement by echocardiogram, and one patient had mild left ventricular hypertrophy by echocardiogram, not appreciated on 12-lead electrocardiogram. QTc interval was longer in Marfan patients compared with controls (427±16 versus 417±22 ms, p=0.03), with four Marfan patients demonstrating borderline prolonged QTc intervals for gender.ConclusionsWhile Marfan patients exhibited a higher frequency of left atrial enlargement and left ventricular hypertrophy on 12-lead electrocardiograms compared with controls, these findings were not supported by echocardiography. Serial 12-lead electrocardiograms in routine follow-up of asymptomatic paediatric Marfan patients may be more appropriate for a subgroup of Marfan patients only, specifically those with prolonged QTc interval at their baseline visit.

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Chen, Zongwei, Hong Tan, Xuemei Liu, and Minghua Tang. "Application of 24 h Dynamic Electrocardiography in the Diagnosis of Asymptomatic Myocardial Ischemia with Arrhythmia in Elderly Patients with Coronary Heart Disease." Emergency Medicine International 2022 (November 11, 2022): 1–5. http://dx.doi.org/10.1155/2022/3228023.

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Objective. To investigate the application effect of 24 h dynamic electrocardiogram in the diagnosis of asymptomatic myocardial ischemia with arrhythmia in elderly patients with coronary heart disease. Methods. A total of 206 elderly patients suspected of coronary heart disease (CHD) with asymptomatic myocardial ischemia and arrhythmia were selected as the research subjects. 24 h dynamic electrocardiogram and conventional electrocardiogram examinations were conducted. Coronary angiography was used as the gold standard to observe the performance of the two examination methods in the diagnosis of asymptomatic myocardial ischemia with arrhythmia in elderly patients with CHD. Results. Coronary angiography showed 174 positive cases and 32 negative cases among the 206 patients. The diagnostic results of a conventional electrocardiogram showed 150 positive cases and 20 negative cases. Its sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 86.21%, 62.50%, 82.52%, 92.59%, and 45.45%, respectively. The diagnostic results of 24 h dynamic electrocardiograms showed 168 positive cases and 29 negative cases. Its sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 96.55%, 96.63%, 95.63%, 98.25%, and 82.86%, respectively. The above results indicated that 24 h dynamic electrocardiogram was significantly better ( P < 0.05 ). The detection rate of arrhythmia types by 24-hour dynamic electrocardiogram was significantly higher than that of conventional electrocardiogram ( P < 0.05 ). Conclusion. 24 h dynamic electrocardiogram is helpful for the diagnosis of asymptomatic myocardial ischemia with arrhythmia in elderly patients with CHD and can improve the detection rate, thereby providing a basis for clinical diagnosis and treatment.

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Filatova, Anna Yevhenivna, Anatoliy Ivanovych Povoroznyuk, Bohdan Petrovych Nosachenko, and Mohamad Fahs. "Synthesis of an integral signal for solving the problem of morphological analysis of electrocardiograms." Herald of Advanced Information Technology 5, no. 4 (December 28, 2022): 263–74. http://dx.doi.org/10.15276/hait.05.2022.19.

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This work is devoted to solving the scientific and practical problem of morphological analysis of electrocardiograms based on an integral biomedical signal with locally concentrated features. In modern conditions of introduction of telemedicine in the health care system of Ukraine the creation of cardiological decision support systems based on automatic morphological analysis of electrocardiogram is of particular importance. The authors proposed a method for synthesizing an integral electrocardiogram in the frontal plane from all limb leads, taking into account the lead angle in the hexaxial reference system and the position of the heart’s electrical axis, since integral electrocardiological signals allow to obtain more accurate results compared to conventional electrocardiogram, because they take into account the individual characteristics of patients, a wide variety of electrocardiogram waveforms and complexes, which is associated not only with the presence of pathological processes in the myocardium, but also with the position of the electrical axis of the heart, in particular, the electrocardiogram will not register a low-amplitude P wave in the II department in the case of a horizontal electrical axis, but it will be clearly visible on the integral signal. To implement the method proposed in the article, a program was written in the MATLAB language, , the high speed of computation and good optimization of which allow to obtain results much faster and more accurate than using traditional approaches, and using the MATLAB Runtime library, which does not require licensing and is distributed free of charge, it was possible to provide more economical development, as well as to implement interaction with popular operating systems, which makes it more accessible and versatile. Verification of the results was carried out using a database of electrocardiograms, which were recorded using a transtelephone digital 12-channel electrocardiological complex “Telecard”, which is part of the medical diagnostic complex “TREDEX”. The paper shows that the proposed method for the synthesis of an integral signal with locally concentrated features will improve the quality of morphological analysis of electrocardiograms in cardiological decision support systems.

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Zhu, Qingjun. "Single-Lead ECG Signal Collecting System Design." Theoretical and Natural Science 4, no. 1 (April 28, 2023): 287–92. http://dx.doi.org/10.54254/2753-8818/4/20220568.

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The purpose of these experiments is to understand the function and importance of an electrocardiogram (ECG). In general, an electrocardiogram experiment entails tests conducted to evaluate the hearts rhythm and electrical activity. The laboratory activities involved building the circuit required for recording the electrocardiogram, and the respective ECG signals were effectively converted for clearer observation. The experiment objective was achieved through the following procedures in the lab manual. MATLAB software was effectively used to obtain the plot for the ECG signal by exploiting the data obtained from the acquisition software. The report also successfully provides a compelling discussion on electrocardiograms and their general importance. After acquiring effective ECG plots, the laptop was effectively connected to the acquisition system and the obtained plot was employed for effective analysis.

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Abu Bakar, Nurul Atiqah, Nazar Luqman, Essam Shaaban, and Hanif Abdul Rahman. "Prevalence and predictors of electrocardiogram abnormalities among athletes." Asian Cardiovascular and Thoracic Annals 26, no. 8 (October 2018): 603–7. http://dx.doi.org/10.1177/0218492318807533.

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Background Existing evidence, predominantly from Western countries, has demonstrated that athletes’ hearts undergo structural, physiological, and electrical changes, leading to abnormal electrocardiogram readings that are said to be training-related. Athletes with non-training-related electrocardiographic abnormalities risk developing sudden cardiac death. The lack of studies on this issue in the Asian population warrants further exploration. Therefore, the aim of this study was to estimate the prevalence and predictive factors contributing to electrocardiogram abnormalities among athletes in Brunei. Methods A descriptive cross-sectional study was conducted on 100 athletes (median age 25.2 years) in 10 sporting disciplines, whose electrocardiogram readings and essential information was obtained. Results The prevalence of an abnormal electrocardiogram was 52% (95% confidence interval: 42.0%–62.0%), comprising training-related changes in 49% (95% confidence interval: 39.0%–59.0%) and non-training-related changes in 3% (95% confidence interval: 0.4%–6.4%). Athletes with a higher body mass index were 3.3-times (95% confidence interval: 1.47–9.58) more likely to have abnormal electrocardiogram readings. Athletes <25-years old (odds ratio = 0.25, 95% confidence interval: 0.07–0.81) and those who trained with low dynamic intensity (odds ratio = 0.33, 95% confidence interval: 0.12–0.93) were significantly less likely to have electrocardiogram abnormalities. Conclusions This is the first study reporting abnormal electrocardiograms among athletes in Brunei, which provides important information to relevant agencies involved in the preparation of Asian athletes for domestic or international competitions, particularly those with a higher body mass index and low dynamic training intensity.

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Shafer, Audrey. "Electrocardiogram." Anesthesiology 122, no. 1 (January 1, 2015): 206–7. http://dx.doi.org/10.1097/aln.0000000000000346.

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Kravetz, Robert E. "Electrocardiogram." American Journal of Gastroenterology 100, no. 4 (April 2005): 746. http://dx.doi.org/10.1111/j.1572-0241.2005.41588.x.

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James, Rintu Tisho, Mahalakshmi, Anbarasi Chellaiyan, John Roshan, and Roselin Rhenius. "Electrocardiogram Series: Normal Electrocardiogram and Arrhythmia." Indian Journal of Continuing Nursing Education 24, no. 2 (2023): 119–32. http://dx.doi.org/10.4103/ijcn.ijcn_4_24.

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Abstract An electrocardiogram (ECG) represents the electrical activity of the cardiac cells. The ECG serves as a significant diagnostic test, especially in identifying and managing life-threatening arrhythmias and acute coronary syndrome. With the upsurge of non-communicable diseases, there is a significant increase in heart diseases, especially acute coronary syndrome and arrhythmias. Interpretation of ECG is a skill demanded of nurses irrespective of the healthcare settings for immediate intervention towards enhancing the positive outcome of patients. This article details the simplified interpretation of normal and abnormal ECGs towards updating one’s skill in ECG interpretation.

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Vasic, Nada, Ruza Stevic, Dragana Jovanovic, Violeta Mihailovic-Vucinic, Verica Djukanovic, and Dajana Trifunovic. "Changes in electrocardiogram in patients with cardiac sarcoidosis." Medical review 66, suppl. 1 (2013): 47–49. http://dx.doi.org/10.2298/mpns13s1047v.

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Introduction. Abnormalities in the electrocardiogram are more frequent in patients with cardiac sarcoidosis than in those having other diseases. The aim of this study was to determine the types and incidence of abnormalities in the electrocardiogram in patients with cardiac sarcoidosis. Results. The study sample included 30 patients (22 women and 8 men), their mean age being 45 years (23- 64). The clinical diagnosis was confirmed by echocardiography in 25 (83%) and by radionuclide ventriculography technetium-99m in five patients (17%). Abnormal electrocardiograms were found in 28 (93%) patients. The rhythm disturbance was recorded in 21 (69%): arrhythmias in 11 (37%), conduction disturbances in eight (26%), associated in two (6%), changes in the ST-T in 7 (23%). Micro R from V1 to V3 was observed in 15 (50%).patients. The recorded echocardiography granuloma in the septum and occurrence of arrhythmias were highly correlated with electrocardiogram findings ?micro R? V1 to V3 (p <0.007, p <0.02). Conclusion. Unusual, nonspecific changes in the electrocardiogram of patients with cardiac sarcoidosis, such as the finding of reduced tooth R V1-V3, shows a possible affection of the septum and frequent occurrences of dysrhythmias.

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Breen, Cathal, Raymond Bond, and Dewar Finlay. "A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogram." Health Informatics Journal 25, no. 1 (January 5, 2017): 51–61. http://dx.doi.org/10.1177/1460458216683534.

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This article reports the design and testing of a novel interactive method, abbreviated to ANALYSE (systemAtic aNALYsiS of Electrocardiography) to assist interpretation of 12-lead electrocardiogram. 15 participants interpreted a total of 150 12-lead electrocardiogram recordings randomly using a standard and this novel (ANALYSE) reporting format. The overall aggregated mean score attained using the standard format was 53% (range = 38–82%, standard deviation = 12). Conversely, the overall aggregated mean score attained using ANALYSE format was 75% (range = 55%–93%, standard deviation = 9). A total of 14/15 participants consistently scored higher when interpreting electrocardiograms using the ANALYSE format (range = 10% -45%). A significant difference between the aggregated marks scored using the ANALYSE format and the standard format was calculated (Wilcoxon Z Score = −3.2374 (df = 14), p < 0.01). This study demonstrates the clinical utility of a novel method (ANALYSE) to assist the learning of electrocardiogram interpretation and its association with enhanced diagnostic performance in novices.

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Kurosaka, Chie, Takashi Maruyama, Shimpei Yamada, Yuriko Hachiya, Yoichi Ueta, and Toshiaki Higashi. "Estimating core body temperature using electrocardiogram signals." PLOS ONE 17, no. 6 (June 28, 2022): e0270626. http://dx.doi.org/10.1371/journal.pone.0270626.

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Suppressing the elevation in core body temperature is an important factor in preventing heatstroke. However, there is still no non-invasive method to sense core body temperature. This study proposed an algorithm that estimates core body temperature based on electrocardiogram signals. A total of 12 healthy men (mean age ± SD = 39.6 ± 13.4) performed an ergometric exercise load test under two conditions of exercise load in an environmental chamber adjusted to a temperature of 35°C and humidity of 50%. Vital sensing data such as electrocardiograms, core body temperatures, and body surface temperatures were continuously measured, and physical data such as body weight were obtained from participants pre- and post-experiment. According to basic physiological knowledge, heart rate and body temperature are closely related. We analyzed the relationship between core body temperature and several indexes obtained from electrocardiograms and found that the amount of change in core body temperature had a strong relationship with analyzed data from electrocardiograms. Based on these findings, we developed the amount of change in core body temperature estimation model using multiple regression analysis including the Poincaré plot index of the ECG R-R interval. The estimation model showed an average estimation error of -0.007°C (average error rate = -0.02%) and an error range of 0.457–0.445°C. It is suggested that continuous core body temperature change can be estimated using electrocardiogram signals regardless of individual characteristics such as age and physique. Based on this applicable estimation model, we plan to enhance estimation accuracy and further verify efficacy by considering clothing and environmental conditions.

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Kirk, Mary, and Christine Wright. "Do registered nurses have the tools to appropriately assess student nurses in the taking and interpretation of electrocardiograms?" British Journal of Cardiac Nursing 16, no. 11 (November 2, 2021): 1–6. http://dx.doi.org/10.12968/bjca.2021.0083.

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The Nursing and Midwifery Council highlights that, at the point of qualifying, registered nurses should be able to undertake routine investigations, interpret and share the findings, as appropriate. This includes electrocardiograms. Registered nurses who act as practice assessors for student nurses need to have the skills themselves to be able to appropriately assess the student. This article investigates whether practice assessors hold the appropriate knowledge and skills to be able to undertake assessments. The understanding of the terminology ‘interpreting findings’ can be seen in different ways and this could influence nurses' skills acquisition. At what point does a nurse not require supervision and is considered competent in the skill of taking an electrocardiogram and interpretation? There is no national standard in England to agree the level at which competence is achieved. Student training in practice may vary due to the placement experiences gained throughout their training. From reviewing the literature and standards, it is suggested that registered nurses have varying standards of skills when it comes to interpreting electrocardiograms, derived from their training both as a student and as a nurse. It may also be influenced by the Registered Nurses workplace setting and whether regular and specialist electrocardiogram analysis is required. There appears to be no published evidence/information into current training provision for electrocardiogram analysis within England within a student nurses core curriculum.

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Dore, Henry, Rodrigo Aviles-Espinosa, Zhenhua Luo, Oana Anton, Heike Rabe, and Elizabeth Rendon-Morales. "Characterisation of Textile Embedded Electrodes for Use in a Neonatal Smart Mattress Electrocardiography System." Sensors 21, no. 3 (February 2, 2021): 999. http://dx.doi.org/10.3390/s21030999.

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Heart rate monitoring is the predominant quantitative health indicator of a newborn in the delivery room. A rapid and accurate heart rate measurement is vital during the first minutes after birth. Clinical recommendations suggest that electrocardiogram (ECG) monitoring should be widely adopted in the neonatal intensive care unit to reduce infant mortality and improve long term health outcomes in births that require intervention. Novel non-contact electrocardiogram sensors can reduce the time from birth to heart rate reading as well as providing unobtrusive and continuous monitoring during intervention. In this work we report the design and development of a solution to provide high resolution, real time electrocardiogram data to the clinicians within the delivery room using non-contact electric potential sensors embedded in a neonatal intensive care unit mattress. A real-time high-resolution electrocardiogram acquisition solution based on a low power embedded system was developed and textile embedded electrodes were fabricated and characterised. Proof of concept tests were carried out on simulated and human cardiac signals, producing electrocardiograms suitable for the calculation of heart rate having an accuracy within ±1 beat per minute using a test ECG signal, ECG recordings from a human volunteer with a correlation coefficient of ~ 87% proved accurate beat to beat morphology reproduction of the waveform without morphological alterations and a time from application to heart rate display below 6 s. This provides evidence that flexible non-contact textile-based electrodes can be embedded in wearable devices for assisting births through heart rate monitoring and serves as a proof of concept for a complete neonate electrocardiogram monitoring system.

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Munro, Scott FS, Debbie Cooke, Valerie Kiln-Barfoot, and Tom Quinn. "The use and impact of 12-lead electrocardiograms in acute stroke patients: A systematic review." European Heart Journal: Acute Cardiovascular Care 7, no. 3 (December 4, 2015): 257–63. http://dx.doi.org/10.1177/2048872615620893.

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Background: Stroke is a leading cause of mortality and disability across the globe. Emergency Medical Services assess and transport a large number of these patients in the prehospital setting. Guidelines for UK ambulance services recommend recording a 12-lead electrocardiogram in the prehospital environment, providing this does not add to significant delay in transporting the patient to hospital; however, this recommendation is not based on any evidence. Methods: A systematic review was conducted to search and synthesise the literature surrounding the use of prehospital electrocardiograms in acute stroke patients, focusing on the prevalence of abnormalities and their association with prognosis and outcome. Online databases, references from selected articles and hand searches were made to identify eligible studies. Two authors independently reviewed the studies to ensure eligibility criteria were met. Main outcomes were presence of abnormality on electrocardiogram, mortality and disability. No studies set in the prehospital environment were found by the search; therefore the eligibility criteria were widened to include hospital-based studies. A total of 18 studies were subsequently included in the review. Results: Although the prevalence of electrocardiogram abnormalities appears common in hospitalised patients, their prognostic impact on mortality, disability and other adverse outcomes is conflicting amongst the literature. There is a lack of research surrounding the use of prehospital electrocardiogram in acute stroke patients. Conclusion: Future studies should be based in the prehospital environment and should investigate whether undertaking an electrocardiogram in the prehospital setting affects clinical management decisions or has an association with mortality or morbidity.

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Palmeira, Nara Cristiane Leite, and Regimar Carla Machado. "Door-to-electrocardiogram time: attendance evaluation of patients with acute myocardial infarction." Revista de Enfermagem UFPE on line 5, no. 8 (September 23, 2011): 1898. http://dx.doi.org/10.5205/reuol.1262-12560-1-le.0508201112.

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ABSTRACTObjectives: to measure the time to perform the electrocardiogram after admittance of patient with thoracic pain; investigate the characteristics of exams and treatment rendered to patient diagnosed with acute myocardial infarction (AMI) with ST-segment elevation. Method: it is a descriptive and exploratory study. The data was extracted from attendance records of patients with thoracic pain at an emergency room, between June and August 2010. The project was approved by the Research Ethics Committee of the University of Paraiba Valley (Univap) (H16/2010). The sample to evaluate the electrocardiogram time was composed of 115 patients, and of these, only 18 presented AMI with ST-segment elevation. Results: the door-to-electrocardiogram time was more than 10 minutes for 95.8% of the patients with thoracic pain. The troponin exam presented an alteration on 83.3% and the Transluminal Coronary Angioplasty was performed on 72.2% of patients with AMI and ST-segment elevation. Conclusions: most patients underwent the electrocardiogram after 10 minutes. All patients diagnosed with AMI and ST-segment elevation underwent the myocardial necrosis marker exam and the prevailing treatment was primary angioplasty. Descriptors: myocardial Infarction; emergency medical services; nurses.RESUMO Objetivos: mensurar o tempo da realização do eletrocardiograma após admissão do paciente com dor torácica; investigar as características dos exames e o tratamento prestado ao paciente com diagnóstico de infarto agudo do miocárdio (IAM) com supradesnível de ST. Método: trata-se de um estudo descritivo e exploratório. Os dados foram extraídos das fichas de atendimento de pacientes com dor torácica em um pronto atendimento, entre junho a agosto de 2010. O projeto obteve aprovação do Comitê de Ética em Pesquisa da Univap (H16/2010). A amostra para avaliação do tempo eletrocardiograma foi composta por 115 pacientes e destes, apenas 18 apresentaram IAM com supradesnível de ST. Resultados: o tempo porta-eletrocardiograma foi maior que 10 minutos para 95,8% dos pacientes com dor torácica. O exame de troponina apresentou alteração em 83,3% e a Angioplastia Coronária Transluminal foi realizada em 72,2% dos pacientes com IAM e supradesnível de ST. Conclusões: a maioria dos pacientes realizou o eletrocardiograma com mais de 10 minutos. Todos os pacientes com diagnóstico de IAM e supradesnível de ST realizaram o exame de marcadores de necrose miocárdica e o tratamento predominante foi à angioplastia primária. Descritores: infarto do miocárdio; atendimento de emergência; enfermeiros.RESUMENObjetivos: mensurar el tiempo de la realización del electrocardiograma tras admisión del paciente con dolor torácica; investigar las características de los exámenes y el tratamiento prestado al paciente con diagnostico de infarto agudo de miocardio (IAM) con supradesnivel de ST. Método: tratase de un estudio descriptivo y exploratorio. Los dados fueron extraídos de las fichas de atendimiento de pacientes con dolor torácica en un Centro de salud, entre junio y agosto de 2010. El proyecto obtuvo aprobación del Comité de Ética en Pesquisa de la Univap (H16/2010). La muestra para evaluación del tiempo electrocardiograma fue compuesta por 115 pacientes y de estos, solamente 18 presentaron IAM con supradesnivel de ST. Resultados: el tiempo porta electrocardiograma fue mayor que 10 minutos para 95,8% de los pacientes con dolor torácica. La prueba de troponina ha presentado alteración en 83,3%, y la Angioplastia Coronaria Transluminal fue realizada en 72,2% de los pacientes con IAM y supradesnivel de ST. Conclusiones: la mayoría de los pacientes han realizado los electrocardiogramas con más de 10 minutos. Todos los pacientes con diagnostico de IAM y supradesnivel de ST han realizado el examen de marcadores de necrosis miocárdica y el tratamiento predominante fue la angioplastia primaria. Descriptores: infarto del miocardio; servicios médicos de urgencia; enfermeros.

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Maguire, James F., P. Pearl O'Rourke, Steven D. Colan, Raif S. Geha, and Robert Crone. "Cardiotoxicity During Treatment of Severe Childhood Asthma." Pediatrics 88, no. 6 (December 1, 1991): 1180–86. http://dx.doi.org/10.1542/peds.88.6.1180.

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We prospectively evaluated 20 patient admissions for severe exacerbation of childhood asthma at The Children's Hospital, Boston, to detect evidence of cardiotoxicity. Evidence of cardiotoxicity was found in all six patient admissions for which isoproterenol infusion was utilized. This included marked elevation of serum creatine phosphokinase isoenzyme (CPK-MB) levels and electrocardiogram abnormalities consistent with transient myocardial ischemia. Peak serum CPK-MB levels were significantly lower and electrocardiogram abnormalities were significantly less frequent during 14 patient admissions for which isoproterenol infusion was not utilized. Risk factors associated with cardiotoxicity included tachycardia, hypercapnia, acidosis, and intravenous isoproterenol therapy. We conclude that cardiotoxicity is not infrequent during therapy for severe exacerbations of childhood asthma. Electrocardiograms and measurement of serum CPK-MB levels are sensitive, useful, and readily obtained indicators of cardiotoxicity. Abnormalities of these studies may detect cardiotoxicity prior to the occurrence of more blatant or catastrophic manifestations of cardiotoxicity. We therefore recommend serial monitoring of serum CPK-MB levels and electrocardiograms for all children requiring an admission to the intensive care unit for management of severe asthmatic exacerbation.

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Sorokivskyy, Mykhaylo. "Quiz: Electrocardiogram." Heart, Vessels and Transplantation 2, Issue 2 (April 17, 2018): 65. http://dx.doi.org/10.24969/hvt.2018.59.

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Sorokivskyy, Mykhaylo. "Quiz: Electrocardiogram." Heart, Vessels and Transplantation 3, Issue 1 (February 14, 2019): 25. http://dx.doi.org/10.24969/hvt.2019.106.

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Hawson, Josh, and Jonathan Lipton. "Quiz: Electrocardiogram." Heart, Vessels and Transplantation 3, Issue 3 (August 21, 2019): 115. http://dx.doi.org/10.24969/hvt.2019.139.

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Sorokivskyy, Mykhaylo, and Ulyana Chernyaha-Royko. "Quiz: Electrocardiogram." Heart, Vessels and Transplantation 3, Issue 4 (October 16, 2019): 163. http://dx.doi.org/10.24969/hvt.2019.161.

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Sorgente, Antonio. "The Electrocardiogram." JACC: Case Reports 3, no. 11 (September 2021): 1400–1401. http://dx.doi.org/10.1016/j.jaccas.2021.07.016.

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29

Collins, Nancy. "Electrocardiogram interpretation." Nursing Standard 24, no. 33 (April 21, 2010): 59–60. http://dx.doi.org/10.7748/ns.24.33.59.s52.

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30

Chakraborty, Praloy. "Electrocardiogram quiz." Journal of the Practice of Cardiovascular Sciences 1, no. 3 (2015): 299. http://dx.doi.org/10.4103/2395-5414.177318.

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Parakh, Neeraj, and Sandeep Singh. "Quiz (Electrocardiogram)." Journal of the Practice of Cardiovascular Sciences 2, no. 1 (2016): 55. http://dx.doi.org/10.4103/2395-5414.182994.

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32

Russell, D. C. "The electrocardiogram." Current Opinion in Cardiology 1, no. 1 (January 1986): 5–9. http://dx.doi.org/10.1097/00001573-198601000-00003.

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Glancy, D. Luke, and Cathi E. Fontenot. "Exercise Electrocardiogram." Baylor University Medical Center Proceedings 16, no. 4 (October 2003): 493–94. http://dx.doi.org/10.1080/08998280.2003.11927947.

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&NA;. "Electrocardiogram Recorder." Journal of Cardiopulmonary Rehabilitation 16, no. 1 (January 1996): 75. http://dx.doi.org/10.1097/00008483-199601000-00024.

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Hornick, John, and Otto Costantini. "The Electrocardiogram." Medical Clinics of North America 103, no. 5 (September 2019): 775–84. http://dx.doi.org/10.1016/j.mcna.2019.04.003.

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Kirkman, Emrys. "The electrocardiogram." Anaesthesia & Intensive Care Medicine 7, no. 8 (August 2006): 264–66. http://dx.doi.org/10.1053/j.mpaic.2006.05.011.

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Andersen, Mogens. "FASTING ELECTROCARDIOGRAM." Acta Medica Scandinavica 187, no. 1-6 (April 24, 2009): 385–90. http://dx.doi.org/10.1111/j.0954-6820.1970.tb02960.x.

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Davey, Patrick, and David Sharman. "The electrocardiogram." Medicine 46, no. 8 (August 2018): 443–52. http://dx.doi.org/10.1016/j.mpmed.2018.05.004.

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Saver, Cynthia L., and Joan M. Hurray. "Electrocardiogram Monitoring." AORN Journal 52, no. 2 (August 1990): 264–71. http://dx.doi.org/10.1016/s0001-2092(07)68155-1.

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Saver, Cynthia L., and Joan M. Hurray. "Electrocardiogram Monitoring." AORN Journal 52, no. 2 (August 1990): 273–90. http://dx.doi.org/10.1016/s0001-2092(07)68156-3.

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Ruiz-Pizarro, Virginia, Julian Palacios-Rubio, Hernan Mejía-Rentería, and Miguel Ángel Cobos-Gil. "Graveyard Electrocardiogram." Journal of Emergency Medicine 52, no. 2 (February 2017): e49-e50. http://dx.doi.org/10.1016/j.jemermed.2016.08.015.

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42

Meier, Bernhard. "Intracoronary Electrocardiogram." JACC: Cardiovascular Interventions 7, no. 9 (September 2014): 997–99. http://dx.doi.org/10.1016/j.jcin.2014.05.012.

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Nemeth, J., L. Zsonda, and K. Pik?? "Electrocardiogram teleconsultation." European Journal of Emergency Medicine 5, no. 1 (March 1998): 173. http://dx.doi.org/10.1097/00063110-199803000-00182.

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Nemeth, J., L. Zsonda, and K. Pik?? "Electrocardiogram teleconsultation." European Journal of Emergency Medicine 5, no. 1 (March 1998): 173. http://dx.doi.org/10.1097/00063110-199803000-00183.

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Westhorpe, R. N., and C. Ball. "The Electrocardiogram." Anaesthesia and Intensive Care 38, no. 2 (March 2010): 231. http://dx.doi.org/10.1177/0310057x1003800201.

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Arabi, Abdulrahman, Anas Algarad, and AhmadM Salem. "Electrocardiogram quiz." Heart Views 23, no. 3 (2022): 157. http://dx.doi.org/10.4103/heartviews.heartviews_217_20.

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Atluri, Prashanthi, and D. Luke Glancy. "Preoperative Electrocardiogram." American Journal of Cardiology 116, no. 8 (October 2015): 1318. http://dx.doi.org/10.1016/j.amjcard.2015.07.051.

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Goldschlager, Nora, and Galen Wagner. "Electrocardiogram interpretation." Journal of Electrocardiology 40, no. 4 (July 2007): 326. http://dx.doi.org/10.1016/j.jelectrocard.2007.05.010.

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Ardhanari, Sivakumar, Greg Flaker, and Mary Dohrmann. "Electrocardiogram quiz." Journal of Electrocardiology 45, no. 2 (March 2012): 185–86. http://dx.doi.org/10.1016/j.jelectrocard.2011.04.008.

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Won, Sekon, Neal Suenishi, and David Singh. "Electrocardiogram Artifact." Journal of Electrocardiology 46, no. 4 (July 2013): 375–76. http://dx.doi.org/10.1016/j.jelectrocard.2013.01.011.

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