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Relevant bibliographies by topics / Electrocardiographic data

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Academic literature on the topic 'Electrocardiographic data'

Author: Grafiati

Published: 10 January 2023

Last updated: 31 July 2025

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Journal articles on the topic "Electrocardiographic data"

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Brooks, Carol Ann, Nancy Kanyok, Colin O’Rourke, and Nancy M. Albert. "Retention of Baseline Electrocardiographic Knowledge After a Blended-Learning Course." American Journal of Critical Care 25, no. 1 (2016): 61–67. http://dx.doi.org/10.4037/ajcc2016556.

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Background Among nurses, skill retention after an electrocardiography blended-learning course is unknown. Objectives To compare 3- and 8-week electrocardiography test scores, compare scores by nurse and work characteristics and self-assessed electrocardiographic competence, and compare 1-year work retention with 3- and 8-week scores and change in scores from week 3 to week 8. Methods Data were collected on demographics, comfort with electrocardiography expectations, electrocardiography competence levels, and 1-year work retention. Correlational and comparative statistics were used in analyses.

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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 plan

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Popadiuk, B., and S. Holopura. "Validation of a portable ECG monitor for the diagnosis of arrhythmias in horses compared to a standard electrocardiograph." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 22, no. 97 (2020): 20–25. http://dx.doi.org/10.32718/nvlvet9704.

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Electrocardiography (ECG) is a main diagnostic tool for diagnostics of rhythm disturbances. Since most pathological arrhythmias are only visible during movement and exercises the registration of exercising ECG becomes a mandatory diagnostic tool for monitoring of high-performance horses. Portable ECG monitor, developed together with specialists of National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” is an electrocardiograph with telemetric data transmission system and four electrodes providing six-lead real-time ECG recordings at rest and during exercise. The obj

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Loukrakpam, Bidyarani, Laishram Geetanjali, O. Puinabati Luikham, and Sanjoy K. Shylla. "Electrocardiographic changes in patients with pre-eclampsia." Annals of Medical Physiology 3, no. 1 (2019): 10–13. http://dx.doi.org/10.23921/amp.2019v3i1.26774.

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Pre-eclampsia is a hypertensive disorder of pregnancy that is associated with elevated maternal risk for cardiovascular disease. Electrocardiographic (ECG) changes in pre-eclampsia have been documented in some studies. Electrocardiography has recently emerged as a useful tool to evaluate cardiovascular complication during and after pregnancy. The present study was therefore undertaken to find out electrocardiographic changes in pre-eclamptic women, visiting Regional Institute of Medical Sciences, Manipur. The aim of this study was to determine the electrocardiographic changes in both pre-eclam

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Loukrakpam, Bidyarani, Laishram Geetanjali, O. Puinabati Luikham, and Sanjoy K. Shylla. "Electrocardiographic changes in patients with pre-eclampsia." Annals of Medical Physiology 3, no. 1 (2019): 10–13. https://doi.org/10.23921/amp.2019v3i1.26774.

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Pre-eclampsia is a hypertensive disorder of pregnancy that is associated with elevated maternal risk for cardiovascular disease. Electrocardiographic (ECG) changes in pre-eclampsia have been documented in some studies. Electrocardiography has recently emerged as a useful tool to evaluate cardiovascular complication during and after pregnancy. The present study was therefore undertaken to find out electrocardiographic changes in pre-eclamptic women, visiting Regional Institute of Medical Sciences, Manipur. The aim of this study was to determine the electrocardiographic changes in both pre-eclam

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Khayrutdinova, G. M. "Left ventricle remodeling electrocardiography criteria of survival assessment in Q-wave myocardial infarction patients." Kazan medical journal 94, no. 2 (2013): 168–75. http://dx.doi.org/10.17816/kmj1582.

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Aim. To study the survival in patients with Q-wave myocardial infarction depending on features of left ventricle remodeling on electrocardiography. Methods. 10-year overall survival and heart diseases associated survival rates depending on features of left ventricle remodeling on electrocardiography were studied in 87 patients who had survived an acute myocardial infarction with Q wave. The first group included 45 patients who fulfilled electrocardiographic criteria for left ventricle adaptive remodeling, the second group included 42 patients with electrocardiographic features of left ventricl

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Iacobescu, Radu-Alexandru, Luiza-Elena Corneanu, Alina-Mihaela Dimache, Bogdan-Danut Florescu, and Adorata-Elena Coman. "Role of nurses' electrocardiography competency in emergent situations." Romanian Journal of Medical Practice 18, no. 3 (2023): 125–29. http://dx.doi.org/10.37897/rjmp.2023.3.5.

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Electrocardiography is an essential tool in emergency care and monitoring of patients with severe cardiovascular diseases. Nurses are at the center of this evaluation and play an important role in the outcome of therapy. Data shows that nurses are limited in their ability to record and interpret electrocardiography diagrams accurately. Little is known about the role nurses play in electrocardiographic evaluation in an emergency. This narrative literature review assesses the competency of nurses in electrocardiography in an emergency, the implications for medical practice, and tries to identify

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Itaru, Kaneko, Yoshida Yutaka, and Yuda Emi. "Improvements of the Analysis of Human Activity Using Acceleration Record of Electrocardiographs." Signal & Image Processing: An International Journal (SIPIJ) 10, no. 5 (2019): 39–48. https://doi.org/10.5281/zenodo.3557315.

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The use of Holter Electrocardiograph (Holter ECG) is rapidly spreading. It is a wearable electrocardiograph that records 24-hour electrocardiograms in a built-in flash memory, making it possible to detect atrial fibrillation (Atrial Fibrillation, AF) through all-day activities. It is also useful for screening for diseases other than atrial fibrillation and for improving health. It is said that more useful information can be obtained by combining electrocardiograph with the analysis of physical activity. For that purpose, the Holter electrocardiograph is equipped with heart rate sensor and acce

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Vergassola, R., W. Zong, M. R. Berthold, and R. Silipo. "Knowledge-based and Data-driven Models in Arrhythmia Fuzzy Classification." Methods of Information in Medicine 40, no. 05 (2001): 397–402. http://dx.doi.org/10.1055/s-0038-1634199.

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Summary Objectives: Fuzzy rules automatically derived from a set of training examples quite often produce better classification results than fuzzy rules translated from medical knowledge. This study aims to investigate the difference in domain representation between a knowledge-based and a data-driven fuzzy system applied to an electrocardiography classification problem. Methods: For a three-class electrocardiographic arrhythmia classification task a set of fifteen fuzzy rules is derived from medical expertise on the basis of twelve electrocardiographic measures. A second set of fuzzy rules is

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Mishra, Dheerendra Kumar, and Pradeep Kumar. "Electrocardiographic changes of antidepressant medication in depressive episode." International Journal of Advances in Medicine 5, no. 3 (2018): 505. http://dx.doi.org/10.18203/2349-3933.ijam20181409.

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Introduction: Depressive disorder is leading cause of mortality in the world, with the help of recent therapeutic strategies it is easily manageable. Antidepressant medication is the most commonly used for management of depressive disorders. Among the side effects of antidepressant, cardiovascular effects of antidepressant deserve close monitoring. Invariably, it is observed that patients undergoing antidepressant therapy are not screened for pre-existing cardiovascular diseases and more so for cardiotoxicity. Various antidepressant medications are available, with different cardiac side effect

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Dissertations / Theses on the topic "Electrocardiographic data"

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Finlay, Dewar Darren. "Data driven selection of optimal electrocardiographic recording sites from body surface potential maps." Thesis, University of Ulster, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428809.

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Potyagaylo, Danila [Verfasser], and O. [Akademischer Betreuer] Dössel. "Non-Invasive Electrocardiographic Imaging of Ventricular Activities: Data-Driven and Model-Based Approaches / Danila Potyagaylo. Betreuer: O. Dössel." Karlsruhe : KIT-Bibliothek, 2016. http://d-nb.info/1113109254/34.

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Li, Yelei. "Heartbeat detection, classification and coupling analysis using Electrocardiography data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405084050.

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Freeman, Leopold C. "A computerized system for the detection of ventricular late potentials in the electrocardiogram." Thesis, Queensland University of Technology, 1990. https://eprints.qut.edu.au/35943/1/35943_Freeman_1990.pdf.

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Ventricular Late Potentials, while there is as yet no universally accepted definition, are generally considered to be abnormal low level activity in the late QH.S and ST regions of the ECG. They are believed to be indicative of reentrant loops in infarcted regions of the ventricular Myocardium, and can predispose a patient to dangerous arrythmias. Since these late potentials are of low amplitude, ( < 40microvolts ) and occur on or near the comparatively large QRS complex, they are obscured in normal ECG recordings. They can, however, be revealed by special data processing techniques, for exam

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Molina, Marcos Sleiman. "Estudo comparativo entre a avaliação livre, dirigida e automatizada na assistência ao diagnóstico eletrocardiográfico em crianças e adolescentes." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/5/5131/tde-04102007-131030/.

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No desenvolvimento cardíaco infantil, a mudança na dinâmica vetorial do miocárdio influencia os parâmetros de normalidade, especialmente nos primeiros dias de vida. Estes limites são idade-dependentes, o que torna a análise do eletrocardiograma (ECG) potencialmente mais difícil em crianças que em adultos. Para facilitar esta tarefa, desenvolvemos um sistema interpretativo computadorizado para análise segmentar no ECG pediátrico. Para validar esta ferramenta, 15 cardiologistas pediátricos foram randomicamente distribuídos em três diferentes grupos, segundo abordagem quali-quantitativa, aqui def

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Montazeri, Ghahjaverestan Nasim. "Early detection of cardiac arrhythmia based on Bayesian methods from ECG data." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S061/document.

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L'apnée est une complication fréquente chez les nouveaux-nés prématurés. L'un des problèmes les plus fréquents est l'épisode d'apnée bradycardie dont la répétition influence de manière négative le développement de l'enfant. C'est pourquoi les enfants prématurés sont surveillés en continu par un système de monitoring. Depuis la mise en place de ce système, l'espérance de vie et le pronostic de vie des prématurés ont été considérablement améliorés et ainsi la mortalité réduite. En effet, les avancées technologiques en électronique, informatique et télécommunications ont conduit à l'élaboration d

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Darrington, John Mark. "Real time extraction of ECG fiducial points using shape based detection." University of Western Australia. School of Computer Science and Software Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0152.

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The electrocardiograph (ECG) is a common clinical and biomedical research tool used for both diagnostic and prognostic purposes. In recent years computer aided analysis of the ECG has enabled cardiographic patterns to be found which were hitherto not apparent. Many of these analyses rely upon the segmentation of the ECG into separate time delimited waveforms. The instants delimiting these segments are called the

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Hooshidar, Daniel, and Yobart Amino. "Implementation av portabla REM-identifierande sensorer : Undersökning kring lämpliga, icke-påträngande metoder för REM-igenkänning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232117.

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Trötthet i trafiken är ett stort problem i samhället. Det är särskilt farligt att trött framföra tunga lastbilar i trafiken eftersom dessa fordon är stora och har ofta livsavgörande roller vid inblandning i trafikolyckor. För att angripa problemet har det i denna rapport studerats kring vilket sömnstadie som är lämpligast att vakna under, i syfte att vakna pigg och alert samt vilka typer av tekniker och metoder som är lämpliga för att portabelt kunna detektera Rapid-Eye-Movement. Tidigare arbeten och studier har gjorts som påvisar att uppväckning i REM-sömn är optimalt för att känna sig alert.

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He, Jinyuan. "Automated Heart Arrhythmia Detection from Electrocardiographic Data." Thesis, 2020. https://vuir.vu.edu.au/41284/.

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Heart arrhythmia is a severe heart problem, which threatens people’s lives by pre- venting their hearts from pumping enough blood into vital organs. Arrhythmia has been a major worldwide health problem for years, accounting for nearly 12% of global deaths every year. The research of automated heartbeat classification is highly demanded, which provides a cost-effective screening for heart arrhythmia and allows at-risk patients to receive timely treatments. To construct an effective automated heartbeat classification model from ECG recordings for arrhythmia de- tection, several key challenges mu

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Dendamrongvit, Thidarat. "An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data." Thesis, 2006. http://hdl.handle.net/1957/28946.

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Electrocardiogram (ECG) data are stored and analyzed in different formats, devices, and computer platforms. There is a need to have an independent platform to support ECG processes among different resources for the purposes of improving the quality of health care and proliferating the results from research. Currently, ECG devices are proprietary. Devices from different manufacturers cannot communicate with each other. It is crucial to have an open standard to manage ECG data for representation and diagnosis. This research explores methods for representation and diagnosis of ECG by developing a

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Books on the topic "Electrocardiographic data"

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W, Mortara David, Ideker Raymond E, Bailey James J, Engineering Foundation (U.S.), and Engineering Foundation Conference on Computerized Interpretation of the Electrocardiogram. (9th : 1984 : Easton, Md.), eds. Computerized interpretation of the electrocardiogram: Proceedings of the 1984 Engineering Foundation Conference: June 14-18, 1984, Tidewater Inn, Easton Maryland. Engineering Foundation, 1985.

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Inglis, Roland. Einsatz der elektronischen Datenverarbeitung in der Intensivmedizin vorwiegend am Beispiel des Elektrokardiogramms. Lang, 1986.

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IEEE International Workshop on Memory Technology, Design, and Testing (1998 San Jose, California). Memory technology, design and testing: Proceedings : International Workshop on Memory Technology, Design, and Testing. IEEE Computer Society Press, 1998.

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Taback, Leonard. Analog-Digital Conversion Equipment for Electrocardiographic Data; NBS Technical Note 42. Creative Media Partners, LLC, 2021.

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De Los Santos, Marco, and Max Hirshkowitz. Scoring of sleep stages, breathing, and arousals. Edited by Sudhansu Chokroverty, Luigi Ferini-Strambi, and Christopher Kennard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199682003.003.0008.

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This chapter summarizes scoring guidelines for sleep stages, breathing (airflow and respiratory effort), and arousals based on the principles enumerated by the American Academy of Sleep Medicine (AASM). Current established clinical standards are largely based on those published by the AASM and rules implemented by Centers for Medicare and Medicaid services in the USA. These rules include scoring of rapid eye movement (REM) and non-REM (NREM) sleep stages, central nervous system (CNS) arousals, and breathing events. Other clinically relevant polysomnographic events exist (eg, limb movements, br

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Bailey, James J. Computerized Interpretation of the Electrocardiogram (Computerized Interpretation of the Electrocardiogram). Engineering Foundation, 1985.

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Hajhosseiny, Reza, Kaivan Khavandi, and David J. Goldsmith. Sudden cardiac death in chronic kidney disease. Edited by David J. Goldsmith. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0108.

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Epidemiological data demonstrate the unique vulnerability of chronic kidney disease (CKD) subjects to cardiovascular disease, the most catastrophic being sudden cardiac death (SCD). In patients with declining kidney function there is a continuum of cardiovascular risk. In those individuals who survive to reach end-stage renal disease (ESRD), the risk of suffering a cardiac event is extremely high. Some of this risk is explained by the common risk factors and traditional cardiovascular events, namely atherosclerotic plaque fissure and rupture, but there is now evidence of a distinct ‘later CKD’

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Mitra, Madhuchhanda, Rajarshi Gupta, and Jitendranath Bera. ECG Acquisition and Automated Remote Processing. Springer London, Limited, 2013.

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Mitra, Madhuchhanda, Rajarshi Gupta, and Jitendranath Bera. ECG Acquisition and Automated Remote Processing. Springer, 2013.

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Mitra, Madhuchhanda, Rajarshi Gupta, and Jitendranath Bera. ECG Acquisition and Automated Remote Processing. Springer, 2016.

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Book chapters on the topic "Electrocardiographic data"

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Becerra, M. A., C. Duque-Mejía, C. Zapata-Hernández, et al. "Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems." In Intelligent Data Engineering and Automated Learning – IDEAL 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03493-1_43.

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Bastos, Eduarda Sofia, Rui Pedro Duarte, Francisco Alexandre Marinho, et al. "Preliminary Study on Gender Identification by Electrocardiography Data." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28663-6_4.

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Chen, Lili, Changyue Song, and Xi Zhang. "Statistical Modeling of Electrocardiography Signal for Subject Monitoring and Diagnosis." In Healthcare Analytics: From Data to Knowledge to Healthcare Improvement. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118919408.ch4.

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Pinto, Rui João, Pedro Miguel Silva, Rui Pedro Duarte, et al. "Preliminary Study on the Identification of Diseases by Electrocardiography Sensors’ Data." In Bioinformatics and Biomedical Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34953-9_23.

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Hu, Jiayuan, and Yong Li. "Electrocardiograph Based Emotion Recognition via WGAN-GP Data Enhancement and Improved CNN." In Intelligent Robotics and Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13844-7_16.

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Rubel Paul, Willems Jos L., Zywietz Christoph, et al. "OEDIPE: Open European Data Interchange and Processing for Electrocardiography." In Studies in Health Technology and Informatics. IOS Press, 1995. https://doi.org/10.3233/978-1-60750-868-7-313.

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The basic aim of the OEDIPE project was to increase the availability and compatibility of objective decision support in the field of Quantitative Electrocardiography by promoting Open European Data Interchange and Processing for Electrocardiography. The project has successfully developed several building blocks bringing generic solutions to the more general problem of distributed, cooperative processing of patient signals and other relevant data, some of which are stored in distant distributed cooperative databases. It has also designed several demonstration systems for the follow-up of cardia

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Seger Michael, Tilg Bernhard, Modre-Osprian Robert, Fischer Gerald, Hanser Friedrich, and Messnarz Bernd. "ECG Mapping and Imaging of Cardiac Electrical Function." In Studies in Health Technology and Informatics. IOS Press, 2003. https://doi.org/10.3233/978-1-60750-939-4-56.

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Inverse electrocardiography has been developed for several years. By coupling electrocardiographic mapping and 3D-time anatomical data, the electrical excitation sequence can be imaged completely non-invasively in the human heart. In this study, a bidomain theory based surface heart model activation time imaging approach was applied to single beat data of atrial and ventricular depolarization. For sinus and paced rhythms, the sites of early activation and the areas with late activation were estimated with sufficient accuracy. In particular for focal arrhythmias, this model-based imaging approa

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"ECG Data Acquisition Procedures and Maintenance of Recording Quality Including Technician Training." In The Minnesota Code Manual of Electrocardiographic Findings. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-778-3_14.

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Chen, Xiuwen, and Rongqian Yang. "Real-Time Detection for Abnormal Segments of Electrocardiographic Signal During Ewing Test." In Fuzzy Systems and Data Mining IX. IOS Press, 2023. http://dx.doi.org/10.3233/faia231100.

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Ewing test is often applied to study function of autonomic nerve system. Combining Ewing test and heart rate variability (HRV) is useful for detecting autonomic dysfunction. HRV is an objective physiological signal obtained from electrocardiographic (ECG) signal. However, physical movement, baseline shifting or electrode shedding usually produce abnormal ECG signals. So, it is important to detect abnormal segments of ECG signal. In this study, we proposed an entropy algorithm with a normalized frequency distribution histogram (FDH) to detect abnormal segments of ECG signal during Ewing test in

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Inamdar, Dr Mrs Fatima M., and Dr Yogesh Deshpande. "USE OF IOT ENABLED SOFT COMPUTING FRAMEWORK FOR PREDICTING HEART ATTACK." In Futuristic Trends in Artificial Intelligence Volume 3 Book 7. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3baai7p2ch1.

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According to the WHO, cardiovascular disease is still one of the top ten leading causes of death. Due to the prevalence of cardiovascular disease in India and around the world, this paper investigates how data mining and prediction models apply to this problem. The emphasis is on grasping the numerous studies that employ data mining and model construction to forecast heart disease risk variables. Before going into great detail on telemedicine and e-health, let's take a moment to grasp the fundamentals of what we are about to discover. Electronic health records (EHRs), health information system

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Conference papers on the topic "Electrocardiographic data"

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Ioronen, Alisa S., and Yulia O. Bobrova. "Automation of Electrocardiographic Signal Analysis: Construction of Phase Portraits Based on Real-World Data." In 2025 XXVIII International Conference on Soft Computing and Measurements (SCM). IEEE, 2025. https://doi.org/10.1109/scm66446.2025.11060208.

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Yenila, Firna, Yuhandri, and Okfalisa. "The Coronary Atherosclerosis Detection: A Diagnostic Approach of Digital Electrocardiography Image Interpretation." In 2024 International Conference on Data Science and Its Applications (ICoDSA). IEEE, 2024. http://dx.doi.org/10.1109/icodsa62899.2024.10651741.

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Quirós-Corella, Fabricio, Randall Loaiza, Rosa Matarrita, and Esteban Meneses. "A Comprehensive Deep Learning Pipeline for Arrhythmia Multi-Classification with Electrocardiography Data." In 2024 IEEE 6th International Conference on BioInspired Processing (BIP). IEEE, 2024. https://doi.org/10.1109/bip63158.2024.10885391.

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Bucolo, M., R. Caponetto, G. Dongola, A. Gallo, and F. Sapuppo. "An FPGA based approach for nonlinear characterization of Electrocardiographic data." In 2010 IEEE International Symposium on Industrial Electronics (ISIE 2010). IEEE, 2010. http://dx.doi.org/10.1109/isie.2010.5636316.

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Castillo, Oscar Daniel Diaz, Luz Janneth Parra Ayala, Airan Leonardo Carreno Perez, Jose Misael Cubillos Jimenez, Yohana Lyceth Corba Castano, and Diana Marcela Munoz-Sarmiento. "Supervised learning system for detection of cardiac arrhythmias based on electrocardiographic data." In 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom). IEEE, 2019. http://dx.doi.org/10.1109/healthcom46333.2019.9009601.

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Erenler, Taha, and Yesim Serinagaoglu Dogrusoz. "Effects of Prior Data on the Inference and Filtering Based Electrocardiographic Imaging." In 2019 Computing in Cardiology Conference. Computing in Cardiology, 2019. http://dx.doi.org/10.22489/cinc.2019.292.

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Ledezma, Carlos A., Erika Severeyn, Gilberto Perpinan, Miguel Altuve, and Sara Wong. "A new on-line electrocardiographic records database and computer routines for data analysis." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944189.

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Deng, Yunziwei, Xiaohui Duan, Bingli Jiao, Tiangang Zhu, and Zhilong Wang. "Electrocardiographic criteria for the diagnosis of left ventricular hypertrophy based on data mining." In 2017 10th Biomedical Engineering International Conference (BMEiCON). IEEE, 2017. http://dx.doi.org/10.1109/bmeicon.2017.8229108.

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Shukla, Ankita, and Izharuddin. "Improved Deep Residual Convolution Neural Network for Detection of Arrythmia from Electrocardiographic Data." In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2022. http://dx.doi.org/10.1109/smart55829.2022.10047475.

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Chia, Chih-Chun, and Zeeshan Syed. "Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks." In KDD '14: The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2014. http://dx.doi.org/10.1145/2623330.2623702.

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Reports on the topic "Electrocardiographic data"

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Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42562.

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Abstract:

This paper investigates the feasibility of using non-cerebral, time-series data to detect epileptic seizures. Data were recorded from fifteen patients (7 male, 5 female, 3 not noted, mean age 36.17 yrs), five of whom had a total of seven seizures. Patients were monitored in an inpatient setting using standard video electroencephalography (vEEG), while also wearing sensors monitoring electrocardiography, electrodermal activity, electromyography, accelerometry, and audio signals (vocalizations). A systematic and detailed study was conducted to identify the sensors and the features derived from t

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Wideman, Jr., Robert F., Nicholas B. Anthony, Avigdor Cahaner, Alan Shlosberg, Michel Bellaiche, and William B. Roush. Integrated Approach to Evaluating Inherited Predictors of Resistance to Pulmonary Hypertension Syndrome (Ascites) in Fast Growing Broiler Chickens. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7575287.bard.

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Abstract:

Background PHS (pulmonary hypertension syndrome, ascites syndrome) is a serious cause of loss in the broiler industry, and is a prime example of an undesirable side effect of successful genetic development that may be deleteriously manifested by factors in the environment of growing broilers. Basically, continuous and pinpointed selection for rapid growth in broilers has led to higher oxygen demand and consequently to more frequent manifestation of an inherent potential cardiopulmonary incapability to sufficiently oxygenate the arterial blood. The multifaceted causes and modifiers of PHS make

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