Relevant bibliographies by topics / Electrocardiograms (ECGs)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Electrocardiograms (ECGs)'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 June 2025

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Journal articles on the topic "Electrocardiograms (ECGs)"

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Marcolino, Milena Soriano, Daniel Moore Freitas Palhares, Maria Beatriz Moreira Alkmim, and Antonio Luiz Ribeiro. "Prevalence of normal electrocardiograms in primary care patients." Revista da Associação Médica Brasileira 60, no. 3 (2014): 236–41. http://dx.doi.org/10.1590/1806-9282.60.03.012.

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Objective: Knowing the proportion the proportion of normal and abnormal electrocardiograms (ECGs) in primary care patients allows us to estimate the proportion of exams that can be analyzed by the general practitioner with minimal training in ECG interpretation, in addition to being epidemiologically relevant. The objective of this study is to assess the prevalence of normal ECGs in primary care patients. Methods: all digital ECGs analyzed by the cardiologists of Telehealth Network of Minas Gerais (TNMG) in 2011 were evaluated. TNMG is a public telehealth service that provides support to primary care professionals in 662 municipalities in the state of Minas Gerais, Brazil. Results: during the study period, 290,795 ECGs were analyzed (mean age 51 ± 19 years), 57.6% were normal. This proportion was higher in women (60.1 vs 57.6%, p <0.001) and lower in patients with hypertension (45.8% vs 63.2%, p <0.001) or diabetes (43.3% vs 63.2%, p <0.001). A progressive reduction in the prevalence of normal ECG with increasing age was observed. Among the ECGs of patients under investigation for chest pain, 58.7% showed no abnormalities. Conclusion: the prevalence of normal ECGs in primary care patients is higher than 50% and this proportion decreases with age and comorbidities. Most ECGs performed for investigation of chest pain in primary care shows no abnormality.
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Patwardhan, Abhijit, Sachin Moghe, Ke Wang, and Fabio Leonelli. "Frequency modulation within electrocardiograms during ventricular fibrillation." American Journal of Physiology-Heart and Circulatory Physiology 279, no. 2 (2000): H825—H835. http://dx.doi.org/10.1152/ajpheart.2000.279.2.h825.

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Periods of reentrant activation and effective refractory periods are correlated with dominant frequency or reciprocal of cycle periods during ventricular fibrillation (VF). In the present study, we used an analysis technique based on Wigner transforms to quantify time-varying dominant frequencies in electrocardiograms (ECGs) during VF. We estimated dominant frequencies within orthogonal ECGs recorded in 10 dogs during trials of 10 s of VF and in 9 dogs during trials of 30 s of VF. In four additional dogs, we compared dominant frequencies during 10 s of VF before and after administration of amiodarone. Our results showed the following. 1) There was substantial frequency variation or modulation within the ECGs during 10 and 30 s of VF, the average variation being ±15% from the mean frequency. Amiodarone decreased mean frequencies ( P < 0.05) as expected; however, amiodarone also decreased the variation in frequencies ( P < 0.05). 2) During 30 s of VF, the dominant frequencies increased continuously from 7.3 to 8.1 Hz ( P < 0.05). The increase in frequency was almost linear with a rate of 0.022 Hz/s ( r 2 = 0.93, P < 0.0005). 3) Modulation of frequencies during the first and the last one-half of 30 s of VF was not different. Average (in time) mean frequencies and modulation of frequencies were similar in all three ECGs. 4) Although the averages were similar, during any VF episode, dominant frequencies in ECGs recorded from different locations on the body surface were similar to each other at some times and markedly different from each other at other times. We conclude that during VF, 1) frequencies in ECGs vary considerably and continuously, and amiodarone decreases this variation; 2) mean frequencies increase linearly during first 30 s; 3) the variability in frequency does not change during 30 s; and 4) at any given time, the frequencies within spatially different body surface ECGs can be either similar or markedly different.
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ABDUL-SADA, JAFAR W., and H. J. ABBAS. "Automatic diagnosis from electrocardiograms (ECGs)." International Journal of Systems Science 19, no. 11 (1988): 2157–62. http://dx.doi.org/10.1080/00207728808964108.

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Mischke, K., M. Zarse, M. Perkuhn, et al. "Telephonic transmission of 12-lead electrocardiograms during acute myocardial infarction." Journal of Telemedicine and Telecare 11, no. 4 (2005): 185–90. http://dx.doi.org/10.1258/1357633054068928.

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To test the feasibility of a small and simple system for telephonic transmission of 12-lead electrocardiograms (ECGs), 70 patients with acute coronary syndrome admitted to the cardiac care unit (CCU) were included in a feasibility study. The transmission system consisted of a belt with multiple electrodes, which was positioned around the chest. The ECG signal was sent to a call centre via a standard telephone line. In parallel, a standard 12-lead ECG was recorded on site. In a retrospective analysis, each lead of the transmitted ECG was compared with the on-site 12-lead ECG with regard to ST-segment changes and final diagnosis. In all 37 patients with acute ST-elevation myocardial infarction, the diagnosis was correctly established on the basis of telephone-transmitted ECGs. In 96% of limb and 88% of chest leads, ST elevations which were visible in standard ECGs were correctly displayed on telephonically transmitted ECGs. In the remaining 33 patients no false-positive diagnosis was made using transtelephonic ECG analysis. A control group of 31 patients without apparent heart disease showed high concordance between standard ECGs and telephonically transmitted ECGs. Telephonically transmitted 12-lead ECGs interpreted by a hospital-based internist/cardiologist might allow a rapid and accurate diagnosis of ST-elevation myocardial infarction and may increase diagnostic safety for the emergency staff during prehospital decision making and treatment of acute myocardial infarction.
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Selker, Harry P., Manlik Kwong, Robin Ruthazer, et al. "An example of medical device-based projection of clinical trial enrollment: Use of electrocardiographic data to identify candidates for a trial in acute coronary syndromes." Journal of Clinical and Translational Science 2, no. 6 (2018): 377–83. http://dx.doi.org/10.1017/cts.2019.365.

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AbstractBackground:To identify potential participants for clinical trials, electronic health records (EHRs) are searched at potential sites. As an alternative, we investigated using medical devices used for real-time diagnostic decisions for trial enrollment.Methods:To project cohorts for a trial in acute coronary syndromes (ACS), we used electrocardiograph-based algorithms that identify ACS or ST elevation myocardial infarction (STEMI) that prompt clinicians to offer patients trial enrollment. We searched six hospitals’ electrocardiograph systems for electrocardiograms (ECGs) meeting the planned trial’s enrollment criterion: ECGs with STEMI or > 75% probability of ACS by the acute cardiac ischemia time-insensitive predictive instrument (ACI-TIPI). We revised the ACI-TIPI regression to require only data directly from the electrocardiograph, the e-ACI-TIPI using the same data used for the original ACI-TIPI (development set n = 3,453; test set n = 2,315). We also tested both on data from emergency department electrocardiographs from across the US (n = 8,556). We then used ACI-TIPI and e-ACI-TIPI to identify potential cohorts for the ACS trial and compared performance to cohorts from EHR data at the hospitals.Results:Receiver-operating characteristic (ROC) curve areas on the test set were excellent, 0.89 for ACI-TIPI and 0.84 for the e-ACI-TIPI, as was calibration. On the national electrocardiographic database, ROC areas were 0.78 and 0.69, respectively, and with very good calibration. When tested for detection of patients with > 75% ACS probability, both electrocardiograph-based methods identified eligible patients well, and better than did EHRs.Conclusion:Using data from medical devices such as electrocardiographs may provide accurate projections of available cohorts for clinical trials.
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Desai, Vishal, and Dinesh Dave. "Is artificial intelligence better than manual methods in diagnosis of electrocardiograms (ECGs) or not?" International Journal of Advances in Medicine 4, no. 5 (2017): 1463. http://dx.doi.org/10.18203/2349-3933.ijam20174304.

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Background: Now artificial intelligence is used extensively to diagnose ECGs. Artificial intelligence is the point where the doctors and engineers meet to decrease the misdiagnosis of cardiac diseases. So, we thought it worthwhile to compare and contrast the ECG diagnosis by artificial intelligence and skilled physicians. This paper exposes the potential of diagnosis of each ECG by artificial intelligence and skilled physicians.Methods: The research was done on 30 ECGs and their diagnosis was compared by both the methods.Results: The result was divided into 3 categories: absolutely misdiagnosed, relatively misdiagnosed and correctly diagnosed. Out of these 33% ECGs are absolutely misdiagnosed, 44% ECGs are relatively misdiagnosed and 23% ECGs are correctly diagnosed. This research also focuses on those numbers of diseases which were not correctly diagnosed by artificial intelligence. Out of 23 ECGs 21% cases were of ischaemic heart disease, 26% cases were of early repolarisation syndrome and 17% cases were of atrial flutter/fibrillation (af).Conclusions: Our study concludes that artificial intelligence needs human intervention as well. A combination of human brain and artificial intelligence has made wonders; thus, diagnosis and treatment planning can be enhanced.
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Bonaventura, Klaus, Ernst Wellnhofer, and Eckart Fleck. "Comparison of Standard and Derived 12-Lead Electrocardiograms Registrated by a Simplified 3-Lead Setting with Four Electrodes for Diagnosis of Coronary Angioplasty-induced Myocardial Ischaemia." European Cardiology Review 8, no. 3 (2012): 179. http://dx.doi.org/10.15420/ecr.2012.8.3.179.

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Electrocardiograms (ECGs), myocardial infarction, patient monitoring, EASI lead ECG, percutaneous transluminal coronary angioplasty, four electrodes set 12-lead ECG, 12-lead ECG, cardiovascular patients
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McLaren, J., A. Taher, and L. Chartier. "LO33: Sharing and teaching electrocardiograms to minimize infarction." CJEM 22, S1 (2020): S19. http://dx.doi.org/10.1017/cem.2020.89.

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Background: Every 30-minute delay to ST-Elevation Myocardial Infarction (STEMI) reperfusion increases one-year mortality by 7.5%. A local audit found that the third of patient electrocardiograms (ECGs) not initially meeting classic STEMI criteria had an ECG-to-Activation (ETA) time of over 90 minutes, more than five times that of classic STEMIs. However, three quarters of “STEMI negative” ECGs met STEMI-equivalent patterns or rules for subtle occlusion, uncovering an opportunity for improvement. Aim Statement: We aimed to reduce ETA time, from initial emergency department (ED) ECG to activation of the cath lab, for patients whose ECGs did not meet classic STEMI criteria, by 30 minutes within one year (i.e. by Dec 2019). Measures & Design: We reviewed all ED Code STEMIs over a 35-month pre-intervention period. Root Cause analyses, including Ishikawa diagram and Pareto chart, led to our Plan-Do-Study-Act cycles: 1) a survey to engage our team; 2) a Grand Rounds presentation as an educational strategy; and 3) weekly web-based feedback to all ED physicians on STEMI-equivalents and subtle occlusions, using recent local cases. Our outcome measures were ETA times, stratified by ECGs not initially meeting STEMI criteria (primary) and those that did (secondary). Our process measures were the number of website visits and page views. Our balancing measure was the proportion of Code STEMIs without culprit lesion. We used Statistical Process Control (SPC) charts with usual special cause variation rules. Evaluation/Results: ETA time for the 37.5% of 56 ECGs that did not meet classic STEMI criteria decreased from 97.5 to 53.7 minutes (min), a 43.8-min absolute decrease (p = 0.037), while those meeting STEMI criteria remained the same (16.5 to 18.2min, p = 0.75). SPC charts did not show special cause variation. There were 2,634 page views (65.9/week) and 1,092 visits (27.3/week), in a group of 80 physicians—i.e. a third of the group each week. There was no change in Code STEMIs without culprit lesions (28.0 % to 23.3%, p = 0.41). Discussion/Impact: We reduced ETA time by 43.8min for the one third of patients with culprit lesions not initially meeting classic STEMI criteria, a magnitude associated with mortality impact. To do so, we used a multi-modal educational strategy including a novel web-based feedback approach to all ED physicians. Local feedback and education on this challenging-to-diagnose subgroup, guided by ETA time as a quality metric, could be replicated in other centres.
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Schaffer, Jeffrey A., Terence D. Valenzuela, Arthur L. Wright, et al. "Emergency Physician Interpretation of Prehospital, Paramedic-Acquired Electrocardiograms." Prehospital and Disaster Medicine 7, no. 3 (1992): 251–55. http://dx.doi.org/10.1017/s1049023x00039583.

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AbstractHypothesis:Emergency physician interpretation of prehospital, paramedic-acquired, electrocardiograms (ECG) is accurate judged by comparison with that of a reference cardiologist.Methods:Twelve-lead ECGs were obtained by paramedics in the field from 150 patients with acute chest pain. The ECGs were transmitted by cellular telephone to a central location. Each ECG was assessed for evidence of acute myocardial infarction (AMI) by: 1) a third-year, emergency medicine resident (EMP-R); 2) a residency-trained, board-certified, emergency physician (EMP-RT); 3) an emergency physician board certified under the practice option (EMP-PT); and 4) a board-certified cardiologist. Agreement between each emergency physician and the cardiologist was assessed by the kappa statistic. Hospital records were reviewed for final diagnosis of each patient.Results:Sixteen of 150 (10.7%) patients received a hospital discharge diagnosis of AMI. Sensitivity of physician interpretation ranged from 0.31 to 0.56. All physicians achieved specificity of 0.99. False-positive rates for the physicians ranged from 0.18–0.29. The mean positive predictive value for the four physicians was 0.77±0.05; the mean negative predictive value was 0.94±0.01. The total agreements between the EMP-R, EMP-RT, and EMP-PT and the cardiologists were 0.97, 0.96, and 0.97, respectively. Kappa values for agreement between the emergency physicians and the cardiologist ranged from 0.65–0.79.Conclusions:Residency-trained or board-certified emergency physician interpretations of prehospital, paramedic-acquired 12-lead ECGs show a high degree of agreement with reference cardiologist interpretations.
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Solomons, Luke, Adrian Treloar, and Ryan Noronha. "Competence of psychiatric clinicians in interpreting electrocardiograms and QT intervals: can they do this? Does it matter?" Psychiatric Bulletin 32, no. 8 (2008): 291–94. http://dx.doi.org/10.1192/pb.bp.107.017715.

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Aims and MethodWe assessed the abilities of trainee and consultant psychiatrists in reading and interpreting electrocardiograms (ECGs) and QT intervals using a questionnaire and standardised ECG.ResultsOnly 5% of our sample of trainee and consultant psychiatrists could correctly indicate a QTc interval. Performances on other measures, such as rate were also poor, with senior house officers performing better than consultants.Clinical ImplicationsThe increased awareness of problems caused by antipsychotics has not been reflected in improved knowledge of ECGs among psychiatrists. Machines do not reliably calculate QT intervals. We therefore urge better training and understanding of ECGs for psychiatrists.
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Dissertations / Theses on the topic "Electrocardiograms (ECGs)"

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Lima, Marcelo Araújo. "Sistema remoto para análise automática de ECGs nos padrões HL7 AECG e DICOM-ECG." reponame:Repositório Institucional da UFC, 2017. http://www.repositorio.ufc.br/handle/riufc/26078.

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LIMA, M. A. Sistema remoto para análise automática de ECGs nos padrões HL7 AECG e DICOM-ECG. 2017. 78 f. Dissertação (Mestrado em Engenharia de Teleinformática)–Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2017.
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According to the World Health Organization, about 17.5 million people die each year from cardiovascular disease. The early diagnosis and treatment is crucial to reduce this high number of deaths from cardiovascular diseases. Due to the importance of the electrocardiogram (ECG) analysis, which represents one of the main tests for the detection of these cardiovascular diseases, in the present dissertation is proposed a remote system for automatic ECGs analysis based on webservices that can substantially assist the doctor, using the extracted ECGs information, with the purpose to generate reports. Hence, a Middleware is proposed to abstract the complexities and to facilitate the construction of tools that allow the ECGs automatic analysis. The proposed architecture consists on a server which provides the computational algorithms to identify the main waves present in ECGs such as QRS complex, P and T waves, and support the open standards of HL7 aECG and DICOM-ECG. In order to validate the proposed Middleware and contribute to the medical community, especially the Walter Cantídio University Hospital, a Web application for remotely accessible ECG report was developed. The proposed solution was tested using the database MITDB to simulate the patients of the system and produce the results presented in this dissertation. The proposed solution met the established requirements which makes the proposed solution viable financially and technically.
De acordo com a Organização Mundial da Saúde (OMS), cerca de 17,5 milhões de pessoas morrem todos os anos vítimas de doenças cardiovasculares. O diagnóstico e tratamento precoce às pessoas com doenças cardiovasculares é fundamental para reduzir este número elevado de óbitos. Devido à importância da análise de Eletrocardiograma (ECG), que representa um dos principais exames para detecção destas doenças cardiovasculares, na presente dissertação é proposto um sistema remoto para análise automática de Eletrocardiograma (ECG)s baseado em Web services que pode auxiliar substancialmente o médico especialista, a partir de informações extraídas de ECGs, na emissão de laudos. Neste sentido, propõe-se um Middleware para abstrair as complexidades e facilitar a construção de ferramentas que permitam a análise automática de ECGs. Na arquitetura proposta, um servidor disponibiliza os algoritmos computacionais para identificação das principais ondas presentes nos ECGs tais como complexo QRS, ondas P e T, e suporte aos padrões abertos de exames HL7 aECG e DICOM-ECG. Para validar o Middleware proposto e contribuir com a comunidade médica, em especial do Hospital Universitário Walter Cantídio, desenvolve-se uma aplicação Web para geração de laudos de ECGs acessível remotamente. Testes foram realizados com a solução proposta, utilizando-se a base de dados MIT-BIH Arrhythmia Database (MITDB) para simular os pacientes do sistema e produzir os resultados apresentados nesta dissertação. A solução proposta atendeu aos requisitos estabelecidos e representa uma solução viável, financeiramente e tecnicamente.
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Gallo, Tyler, Joseph Beck, Daniel Clark, and Daniel Malone. "A Pilot Study to Examine the Feasibility of Measuring the QT Interval at Community Health Fairs." The University of Arizona, 2016. http://hdl.handle.net/10150/613962.

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Class of 2016 Abstract
Objectives: This study assessed the feasibility of using a hand-held single lead ECG device to collect readable electrocardiograms (ECGs) in a community setting among the general population. Next, the goal was to determine if QT intervals could be measured from the collected ECGs. Additionally, this study was designed to examine if patients who had a prolonged QT interval were taking medications that are associated with an increased risk of prolonged QT interval. Methods: This prospective pilot study involved collecting ECGs via an AliveCor hand-held device at community health fairs. ECGs were evaluated for usefulness and QT intervals were measured if possible. Results: Forty-eight subjects participated in this pilot study. Forty-five viable ECGs were recorded using the hand-held device. Of the 45 ECGs, 38 were of sufficient quality to measure the QT interval and calculate QTc interval. There were no prolonged QT intervals observed in this study. Conclusions: The hand-held device recorded sufficient information to extract QT intervals for the majority of subjects. Due to the lack of prolonged QTc intervals, there was insufficient data to determine if this device could be utilized in the detection of QT prolongation due to medication use.
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Peasgood, William. "Enhancement of the abdominal fetal electrocardiogram." Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335851.

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Burkhardt, Brian. "THE FUTURE OF ELECTROCARDIOGRAPH TELEMETRY SYSTEMS." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605770.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California
The Electrocardiograph (EKG or ECG) measures electrical changes of tissue surrounding the heart to create a time-based representation of the physical operation of the heart. The purpose of this paper is to explore the future of ECG telemetry systems and how they are used in health care. The initial goal is to develop an inexpensive, efficient, and robust real-time ECG telemetry system. The future goal is to create a wireless network of miniature body sensors capable of measuring ECG data and other vital signs.
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Murray, Henry G. "Evaluation of the fetal electrocardiogram (ECG)." Thesis, University of Nottingham, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297895.

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Davies, Alan. "Examining expertise through eye movements : a study of clinicians interpreting electrocardiograms." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/examining-expertise-through-eye-movements-a-study-of-clinicians-interpreting-electrocardiograms(43593216-6887-43ab-a404-00b00fa38e12).html.

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The electrocardiogram (ECG) is a graphical representation of the electrical activity of the heart. The 12-lead ECG shows this activity in 12 "views" called "leads", relative to the location of sensors attached to the body surface. The ECG is a routinely applied cost effective diagnostic medical test, utilised in healthcare settings around the world. Although more than three hundred million ECGs are recorded each year, correctly interpreting them is considered a complex task. Failure to make correct interpretations can lead to injury or death and costs vast sums in litigation payments. Many automated attempts at interpreting ECGs have been implemented and continue to be developed and improved. Despite this, automated methods are still considered to be less reliable than expert human interpretation. As ECG interpretation is both a cognitive and visual task, eye-tracking holds great potential as an investigative methodology. This thesis aims to identify any cues in visual behaviour that may indicate differences in subsequent ECG interpretation accuracy. This is the first work that uses eye-tracking to analyse how practitioners interpret ECGs as a function of accuracy. In order to investigate these phenomenon, several experiments were carried out using eye-movements captured from clinical practitioners that interpret ECGs as part of their usual clinical role. The findings presented in this thesis have advanced research in the understanding of ECG interpretation. Specifically: Clinical history makes a difference to how people look at ECGs; different gaze patterns are often found in accurate and inaccurate interpretation groups. Grouping data to account for within ECG lead behaviour (eye-movement patterns within a lead) is more revealing than analysis at the level of the lead (eye-movements between leads). Findings suggest analysing visual behaviour at this level is crucial in order to detect behaviour in ECG interpretation. Further to this the thesis presents eye-tracking techniques that can be applied to wider areas of task performance. These methods work over complex stimuli, are able to deal post hoc with differently sized groups and generate appropriate areas of interest on a stimulus. These methods detect important differences in eye-movement behaviour between groups that are missed when applying standard inferential statistical techniques.
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Delano, Margaret K. "A long term wearable electrocardiogram (ECG) measurement system." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76811.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 101-102).
In this thesis, a low-power, wearable monitoring system was developed from discrete electronic components and custom PCBs. The device was designed to maximize comfort and minimize the footprint on the user. A single lead, clinical grade electrocardiogram (ECG), along with 3 axes of acceleration are recorded while a user wearing the device carries out his/her daily activities. The monitor itself consists of a central PCB that contains an electrode and the majority of the electronics, along with either one or two additional electrodes that are connected to smaller electrode PCBs. The monitor can be configured such that any given electrode can act as an input or an output. The system can record ECG and acceleration for over 1 week and consumes 7.3 mW. To confirm the quality of the ECG recorded by the device, a clinical test was performed. Individuals wore both the device discussed in this thesis and a clinical ECG recorder while engaging in physical activities such as sitting, standing, and running. Four participants have been tested at this time. QRS sensitivity and QRS positive predictability were determined for each ECG trace. The cardiac monitor outperformed the clinical recorder in all interventions. It should be a viable alternative to
by Margaret (Maggie) K. Delano.
M.Eng.
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Michalek, Paul. "AN AUTHENTIC ECG SIMULATOR." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2500.

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An ECG (electrocardiogram) simulator is an electronic tool that plays an essential role in the testing, design, and development of ECG monitors and other ECG equipment. Principally an ECG simulator provides ECG monitors with an electrical signal that emulates the human heart's electrical signal so that the monitor can be tested for reliability and important diagnostic capabilities. However, the current portable commercially available ECG simulators are lacking in their ability to fully test ECG monitors. Specifically, the portable simulators presently on the market do not produce authentic ECG signals but rather they endeavor to create the ECG signals mathematically. They even attempt to mathematically create arrhythmias (irregular heartbeats of which there are many different types). Arrhythmia detection is an important capability for any modern ECG monitor because arrhythmias are often the critical link to the diagnosis of heart conditions or cardiovascular disease. The focus of this thesis is the design and implementation of a portable ECG simulator. The important innovation of this prototype simulator is that it will not create its ECG signals mathematically, but rather it will store ECG data files on a memory module and use this data to produce an authentic ECG signal. The data files will consist of different types of ECG signals including different types of arrhythmias. The data files are obtained via the internet and require formatting and storing onto a memory chip. These files are then processed by a digital to analog converter and output on a four lead network to produce an authentic ECG signal. The system is built around the ultra-low power Texas Instruments MSP430 microcontroller.
M.S.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering
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Junttila, J. (Juhani). "Characteristics of subjects with Brugada syndrome type electrocardiogram." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514287701.

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Abstract Brugada syndrome is an inherited arrhythmia disorder that predisposes to sudden cardiac death. It is characterized by its distinct ECG pattern. The purpose of this thesis was to study the phenotype and genotype characteristics of subjects with Brugada syndrome type ECG. The first study population consisted of 2479 young male Air Force applicants and 542 healthy middle-aged subjects. The 12-lead ECG was analyzed to assess the prevalence and prognosis of Brugada pattern in Finnish population. The second population consisted of 168 patients with AF. The ECGs of the patients with family history of lone AF were analysed in order to characterize the ECG features of familial AF. The third population consisted of 200 patients with Brugada syndrome and their ECGs were analyzed for detection of distinct ECG characteristics. In a substudy, the H558R variant was genotyped and the clinical presentation of this variant was evaluated. The clinical characteristics were collected of 47 patients with induced Brugada ECG during fever or medication. The prevalence of type 2 or 3 Brugada ECG was 0.61% in the young population and 0.55% in the middle-aged Finnish population. In a retrospective analysis, none of the Brugada ECG carriers had died. In the AF study, the prevalence of type 2 or 3 Brugada ECG was significantly higher among the subjects with lone AF compared to the healthy controls (p < 0.001). Many of the Brugada ECG carriers had a family history (> 30% of first-degree relatives) of AF. In patients with Brugada syndrome, the prolonged QRS duration was associated with previous symptoms. The R allele carriers in H558R variant had a trend towards less symptoms (p = 0.067) and had less conduction disturbances in 12-lead ECG than the HH genotype carriers (p < 0.05 in all ECG analysis). Among the subjects with induced Brugada ECG, 51% exhibited arrhythmic symptoms during the medical condition that had provoked the ECG pattern. In conclusion, type 2 and 3 Brugada ECGs were found to be benign in the Finnish population since no mortality occurred during an extensive follow-up period. On the other hand, these ECG abnormalities seem to be a marker of familial AF. Among patients with the Brugada syndrome, a prolongation of QRS is associated with prior symptoms. The variant H558R R allele seems to be a protecting genetic modulator. Induced Brugada ECG is a medical emergency since the patients are at high risk of sudden cardiac death.
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Prescott, Simon L. "Nonlinear dynamical analysis of electrocardiogram data and the prospects for control of cardiac chaos." Thesis, Keele University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302274.

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Books on the topic "Electrocardiograms (ECGs)"

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Araoye, Matthew Akinyemi. The normal electrocardiogram (ECG) in adult Nigerians. University of Ilorin, 1986.

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Luna, Antonio Bayés de. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0069.

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The electrocardiogram (ECG) is one of the simplest, inexpensive, safest, and reproducible techniques that exist in medicine. During the current renaissance of electrocardiography, we need to improve how to interpret an ECG. This is especially important because currently the automatic interpretation still needs medical supervision. In spite of the great relevance of the ECG in the diagnosis of heart diseases, this section also includes a chapter that expresses the limitations of the ECG, entitled ‘The abnormal ECG without apparent heart disease and the normal ECG in serious heart disease: two extremes’.
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Archer, Nick, and Nicky Manning. Fetal cardiac rhythm. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199230709.003.0013.

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Introduction 166Identification of cardiac rhythm 168Normal rhythms 172Fast abnormal rhythms 184Slow abnormal rhythms 194Irregular rhythms 200Normal cardiac rhythm originates in the sinus node, a RA structure. Atrial electrical depolarization is manifest on the electrocardiogram (ECG) by a P wave and is followed by atrial contraction....
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Sabharwal, Nikant, Chee Yee Loong, and Andrew Kelion. Introduction to nuclear cardiology. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199206445.003.0001.

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Introduction 2Important milestones 4Relation to other imaging modalities 6The cardiologist of the early twenty-first century takes for granted the wide range of imaging modalities at his/her disposal, but it was not always so. At the beginning of the 1970s, invasive cardiac catheterization was the only reliable cardiac imaging technique. Subsequently, nuclear cardiology investigations led the way in the non-invasive assessment of cardiac disease. Some of the principles underlying these investigations [e.g. electrocardiogram (ECG)-triggered gating] have also been of great importance in the development of other imaging modalities....
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Butkov, Nic. Polysomnography. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0007.

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This chapter provides an overview of the sleep recording process, including the application of electrodes and sensors to the patient, instrumentation, signal processing, digital polysomnography (PSG), and artifact recognition. Topics discussed include indications for PSG, standard recording parameters, patient preparation, electrode placement for recording the electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG), the use of respiratory transducers, oximetry, signal processing, filters, digital data display, electrical safety, and patient monitoring. This chapter also includes record samples of the various types of recording artifacts commonly found in sleep studies, with a detailed description of their causes, preventative measures, and recommended corrective actions.
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Sabharwal, Nikant, Parthiban Arumugam, and Andrew Kelion. Radionuclide ventriculography. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198759942.003.0005.

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Radionuclide ventriculography (RNV) was the first reliable non-invasive method of assessing left ventricular (LV) function, and established nuclear cardiology as a clinical discipline. The subsequent development of other imaging modalities, particularly echocardiography, has led to a sharp decline in the number of studies performed, but RNV still has a role in situations where reproducible serial assessments of LV ejection fraction are required. Equilibrium RNV (ERNV) is the most straightforward and commonly performed style of RNV, and this chapter therefore focuses on ERNV, covering blood-pool labelling, principles of electrocardiogram (ECG) gating, acquisition, processing and interpretation, and clinical value in relation to ERNV. A section on first-pass radionuclide ventriculography is also included.
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Yilmaz, Ali, and Anca Florian. Myocarditis: imaging techniques. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0367.

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The clinical presentation of myocarditis is multifaceted and electrocardiogram (ECG) changes as well as biomarkers tend to be non-specific. Therefore, the diagnosis of myocarditis can be challenging and should be based on an integrated approach including patient history, physical examination, non-invasive tests such as ECG and serum biomarkers, and non-invasive cardiac imaging. As myocarditis may lead to global ventricular dysfunction, regional wall motion abnormalities, and/or diastolic dysfunction, echocardiography should be routinely performed. However, hallmarks of acute myocarditis comprise structural changes such as cardiomyocyte swelling, an increase in extracellular space and water content, accumulation of inflammatory cells, potential necrosis or apoptosis of cardiomyocytes, and myocardial remodelling with fibrotic tissue replacement that can be depicted by cardiovascular magnetic resonance. Nuclear techniques are still not routinely recommended for the work-up of myocarditis—with the possible exception of suspected sarcoidosis—due to limited data, limited diagnostic specificity, limited availability, and risk from radiation exposure. This chapter focuses on those non-invasive cardiac imaging techniques that are used in daily clinical practice for work-up of suspected myocarditis. However, as research continues and novel imaging techniques become available, it is hoped that even more accurate and timely diagnosis of myocarditis will be possible in the near future.
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Book chapters on the topic "Electrocardiograms (ECGs)"

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Yokoyama, Kiyoko. "Electrocardiogram (ECG)." In Current Topics in Environmental Health and Preventive Medicine. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-2160-7_3.

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Rautaharju, Pentti M. "ECG Predictors of Sudden Cardiac Death." In The Female Electrocardiogram. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15293-6_6.

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Kusumoto, Fred. "The Normal Electrocardiogram." In ECG Interpretation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40341-6_3.

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Rautaharju, Pentti M. "ECG Predictors of Atrial Fibrillation and Heart Failure." In The Female Electrocardiogram. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15293-6_5.

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Hombach, V. "Ambulatory Electrocardiogram Monitoring." In Specialized Aspects of ECG. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-880-5_1.

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Singh, Neeraj Kumar. "Formalisation of Electrocardiogram (ECG)." In Using Event-B for Critical Device Software Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5260-6_10.

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Herlitz, Johan, Leif Svensson, and Per Johansson. "The Pre-Hospital Electrocardiogram." In Specialized Aspects of ECG. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-880-5_2.

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Sörnmo, Leif, Elin Trägårdh Johansson, and Michael B. Simson. "The Signal-Averaged Electrocardiogram." In Specialized Aspects of ECG. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-880-5_7.

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Kusumoto, Fred M. "The normal electrocardiogram." In ECG Interpretation: From Pathophysiology to Clinical Application. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-88880-4_3.

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Detweiler, D. K. "The Mammalian Electrocardiogram: Comparative Features." In Specialized Aspects of ECG. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-880-5_10.

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Conference papers on the topic "Electrocardiograms (ECGs)"

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MAHAMAT, Hassan Adam, Sabir Jacquir, Cliff Khalil, Gabriel Laurent, and Stephane Binczak. "Automatic Detection of the Wolff:Parkinson:White (WPW) Syndrome from Electrocardiograms (ECGs)." In 2016 Computing in Cardiology Conference. Computing in Cardiology, 2016. http://dx.doi.org/10.22489/cinc.2016.120-278.

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Yao, Z., Y. Dong, and W. K. Jenkins. "Experimental evaluations of sequential adaptive processing for fetal electrocardiograms (ECGs)." In 2015 49th Asilomar Conference on Signals, Systems and Computers. IEEE, 2015. http://dx.doi.org/10.1109/acssc.2015.7421238.

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Dong, Y., J. Kovarskiy, and W. K. Jenkins. "The addition of adaptive comb filtering to sequential adaptive processing for fetal electrocardiograms (ECGs)." In 2016 50th Asilomar Conference on Signals, Systems and Computers. IEEE, 2016. http://dx.doi.org/10.1109/acssc.2016.7869655.

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Matheus, Justo, Maja Ignova, and Darwin Amaya. "A Medical-Inspired Framework to Classify Downhole Shocks Waveforms While Drilling." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204098-ms.

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Abstract This paper presents a medical approach to classify shock waveforms acquired at 31,250 hertz downhole. The shock signals are treated as drilling electrocardiogram (D-ECG). The D-ECGs are processed using clustering algorithms and merged with drilling incidents to identify an arrhythmic signature pattern that can lead to catastrophic failures. In medicine, the analysis of heartbeat cycles in an electrocardiogram signal is very important for monitoring heart patients. In the drilling industry, downhole shocks are present most of the time. They are present so often that the authors introduce the concept of drilling electrocardiogram (D-ECG) based on shock waveforms acquired at high frequency. The shock module was implemented in hardware using a field programmable gate array (FPGA) and run inside the control unit of an RSS to complement the navigation systems composed. The shock acquisition and processing are performed at 31,250 Hz, providing enough bandwidth to fully reconstruct high-frequency events. A novel methodology combining field incidents with machine learning clustering algorithms is proposed to identify arrhythmic shocks signatures and whirl and bit bounce in real time, preventing failures to the BHA.
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Baia, Alexandre Farias, and Adriana Rosa Garcez Castro. "A Competitive Structure of Convolutional Autoencoder Networks for Electrocardiogram Signals Classification." In XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4446.

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This paper presents the proposal of an electrocardiogram (ECG) signals classification system through a competitive structure of Convolutional Autoencoders (CAE). Two Convolutional Autoencoders were trained to reconstruct ECG signals for the cases of patients with arrhythmia and patients with signals considered normals. After the training, the two networks were arranged in a competitive parallel structure to classify these signals. For the development and testing of the system, the MIT-BIH Arrhythmia Database of ECG signals was used. An accuracy of 88,9% was achieved considering the database used for system testing.
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Murphey, Corey L., Jonathan Wong, and Ellen Kuhl. "Computational Simulation of Biventricular Pacing in an Asymptomatic Human Heart." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53110.

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Cardiac resynchronization therapy (CRT) through biventricular stimulation was first used in the early 1990s as a treatment option for patients with systolic heart failure, intraventricular conduction delay, and other cardiac arrhythmias [1]. CRT, also known as biventricular pacing (BiVP), is an alternative to right ventricular stimulation, which induces dyssynchronous ventricular contraction. In BiVP, three pacing leads are usually placed on the myocardium of the right atrium, the right ventricle, and the left ventricle in the distal cardiac vein. Because there are no standardized loci for lead placement in BiVP, physicians rely on trial and error when inserting pacemaker leads and use electrocardiograms (ECG) to determine the effectiveness of the BiVP lead placement. The ECG measures the electrical conduction, contraction pacing, and projections of the anatomy of the myocardium. Abnormalities in the sinusoidal waves of the ECG reveal problems. Therefore, the ECG can depict a quantitative representation of the effectiveness of biventricular pacing lead placement.
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Hu, Shan, and Xun Yu. "Non-Intrusive ECG Measurement on Vehicle Steering Wheel and Driver Seat." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192963.

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Driver drowsiness is one of the major causes of deadly traffic accidents. Continuous monitoring of drivers’ drowsiness thus is of great importance for preventing drowsiness-caused accidents. Previous psychophysiological studies have shown that heart rate variability (HRV) has established differences between waking and sleep stages [1, 2]. This offers a way to detect driver’s drowsiness by analyzing HRV, which is typically measured and analyzed from electrocardiogram (ECG) signal. Although ECG measurement techniques are well developed, most of them involve electrode contacts on chest or head. Wiring and discomfort problems inherent in those techniques prevent implementing them on cars. To address these problems, we make full use of the environment settings in a car to develop two non-intrusive real-time ECG measurement methods for drivers.
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Xie, Qingsong, Shikui Tu, Guoxing Wang, Yong Lian, and Lei Xu. "Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/607.

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For the problem of early detection of atrial fibrillation (AF) from electrocardiogram (ECG), it is difficult to capture subject-invariant discriminative features from ECG signals, due to the high variation in ECG morphology across subjects and the noise in ECG. In this paper, we propose an Discrete Biorthogonal Wavelet Transform (DBWT) Based Convolutional Neural Network (CNN) for AF detection, shortly called DBWT-AFNet. In DBWT-AFNet, rather than directly feeding ECG into CNN, DBWT is used to separate sub-signals in frequency band of heart beat from ECG, whose output is fed to CNN for AF diagnosis. Such sub-signals are better than the raw ECG for subject-invariant CNN representation learning because noisy information irrelevant to human beat has been largely filtered out. To strengthen the generalization ability of CNN to discover subject-invariant pattern in ECG, skip connection is exploited to propagate information well in neural network and channel attention is designed to adaptively highlight informative channel-wise features. Experiments show that the proposed DBWT-AFNet outperforms the state-of- the-art methods, especially for ECG segments classification across different subjects, where no data from testing subjects have been used in training.
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Chen, Jintai, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, and Jian Wu. "Electrocardio Panorama: Synthesizing New ECG views with Self-supervision." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/495.

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Multi-lead electrocardiogram (ECG) provides clinical information of heartbeats from several fixed viewpoints determined by the lead positioning. However, it is often not satisfactory to visualize ECG signals in these fixed and limited views, as some clinically useful information is represented only from a few specific ECG viewpoints. For the first time, we propose a new concept, Electrocardio Panorama, which allows visualizing ECG signals from any queried viewpoints. To build Electrocardio Panorama, we assume that an underlying electrocardio field exists, representing locations, magnitudes, and directions of ECG signals. We present a Neural electrocardio field Network (Nef-Net), which first predicts the electrocardio field representation by using a sparse set of one or few input ECG views and then synthesizes Electrocardio Panorama based on the predicted representations. Specially, to better disentangle electrocardio field information from viewpoint biases, a new Angular Encoding is proposed to process viewpoint angles. Also, we propose a self-supervised learning approach called Standin Learning, which helps model the electrocardio field without direct supervision. Further, with very few modifications, Nef-Net can synthesize ECG signals from scratch. Experiments verify that our Nef-Net performs well on Electrocardio Panorama synthesis, and outperforms the previous work on the auxiliary tasks (ECG view transformation and ECG synthesis from scratch). The codes and the division labels of cardiac cycles and ECG deflections on Tianchi ECG and PTB datasets are available at https://github.com/WhatAShot/Electrocardio-Panorama.
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Hatim, Anas, Rachid Latif, Oussama El Bachari, and Mounir Arioua. "Efficient electrocardiogram (ECG) lossy compression scheme." In 2016 5th International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2016. http://dx.doi.org/10.1109/icmcs.2016.7905608.

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