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Relevant bibliographies by topics / Electrocardiogram

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Academic literature on the topic 'Electrocardiogram'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Electrocardiogram"

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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 adj

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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 thi

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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 (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

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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 (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 bundl

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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

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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 (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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Nwankwo, Onyeka, Oluwaseun Olaluwoye, Roseline Abiola Samuel, JolaaJesu Famurewa, and Abosede Ighomereho. "The Impact of the Availability of ECG on Treatment Time in the North Norfolk Older People Service, Norfolk and Suffolk NHS Foundation Trust." BJPsych Open 11, S1 (2025): S205. https://doi.org/10.1192/bjo.2025.10523.

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Aims: The electrocardiogram is a non-invasive test used to assess cardiac function. Certain psychotropic and antidementia medications can cause bradycardia, heart block, or prolonged cardiac repolarization, worsening pre-existing conditions. Evaluating cardiac function before treatment initiation is essential. However, in the North Older People Service (NOPS), the lack of electrocardiogram availability at the time of assessment has led to significant delays in treatment initiation, particularly for patients referred for cognitive assessments. These delays not only affect individual patients bu

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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, et al. "Utility of serial 12-lead electrocardiograms in children with Marfan syndrome." Cardiology in the Young 28, no. 8 (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 p

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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

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Dissertations / Theses on the topic "Electrocardiogram"

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Aston, R., and Jean Croce Hemphill. "The Electrocardiogram." Digital Commons @ East Tennessee State University, 1994. https://dc.etsu.edu/etsu-works/7572.

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Mahrousa, Zakria Zaki. "Computerised electrocardiogram classification." Thesis, Cardiff University, 2004. http://orca.cf.ac.uk/55932/.

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Advances in computing have resulted in many engineering processes being automated. Electrocardiogram (ECG) classification is one such process. The analysis of ECGs can benefit from the wide availability and power of modern computers. This study presents the usage of computer technology in the field of computerised ECG classification. Computerised electrocardiogram classification can help to reduce healthcare costs by enabling suitably equipped general practitioners to refer to hospital only those people with serious heart problems. Computerised ECG classification can also be very useful in sho

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Marques, Jefferson Luiz Brum. "High-resolution electrocardiogram analysis." Thesis, University of Sheffield, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263558.

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Mihailovici, Manuela. "Statistical analysis of electrocardiogram data." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22860.

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An overview of the statistical procedures used in the analysis of electrocardiogram traces is presented in this thesis.<br>The purpose of these procedures is twofold: (i) they may suggest underlying mechanisms that influence heart rate (ii) they may be used as a means of classifying one or more patients into disease categories, by using objective criteria rather than the subjective approaches prevalent in current practice.<br>In an attempt to apply the methods discussed in this thesis, a selected group of patients was analyzed using spectral analysis.<br>Lack of information and of control of t

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Abrishami, Hedayat. "Deep Learning Based Electrocardiogram Delineation." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563525992210273.

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Jiménez-Pérez, Guillermo. "Deep learning and unsupervised machine learning for the quantification and interpretation of electrocardiographic signals." Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673555.

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Las señales electrocardiográficas, ya sea adquiridas en la piel del paciente (electrocardiogamas de superficie, ECG) o de forma invasiva mediante cateterismo (electrocardiogramas intracavitarios, iECG) ayudan a explorar la condición y función cardíacas del paciente, dada su capacidad para representar la actividad eléctrica del corazón. Sin embargo, la interpretación de las señales de ECG e iECG es una tarea difícil que requiere años de experiencia, con criterios diagnósticos complejos para personal clínico no especialista, que en muchos casos deben ser interpretados durante situaciones

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Dong, Cheng. "Electrocardiogram parameter extract and analysis system." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2549897.

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Crittenden, Mark E. "Real-time intrapartum fetal electrocardiogram analysis." Thesis, University of Nottingham, 1997. http://eprints.nottingham.ac.uk/27969/.

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The research within this thesis concerns the monitoring of the fetus during labour, using the fetal electrocardiogram (FECG). A versatile FECG analysis system was developed for the Microsoft Windows environment, to allow various FECG parameters to be extracted. Algorithms, currently used in other FECG analysis systems, were implemented using Object Oriented Programming, thus allowing new algorithms to be easily added at a later stage. Although these current algorithms have been demonstrated by several authors, it was felt that they had been used with only partial investigation of their limitat

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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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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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Books on the topic "Electrocardiogram"

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Rautaharju, Pentti M. The Female Electrocardiogram. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15293-6.

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Rowlands, Derek J. Understanding the electrocardiogram. Imperial Chemical Industries, 1987.

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Jackson, Graham. The electrocardiogram: An introduction. Education in Practice, 1989.

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Schamroth, Leo. The 12 lead electrocardiogram. Blackwell Scientific, 1989.

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Tueller, Steuble Barbara, ed. Electrocardiogram interpretation and emergency intervention. Springhouse Corp., 1991.

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P, Clements Ian, ed. The electrocardiogram in acute myocardial infarction. Futura Pub. Co., 1998.

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Kumar, Ashish, Manjeet Kumar, and Rama S. Komaragiri. High Performance and Power Efficient Electrocardiogram Detectors. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5303-3.

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

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Colquhoun, Michael. The electrocardiogram in coronary disease: An illustrated guide. Cardiology Department, Hereford County Hospital?], 1996.

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Murphy, Ochs Ginger, ed. Interpretation of the electrocardiogram: A review for health professionals. 2nd ed. Appleton & Lange, 1990.

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Book chapters on the topic "Electrocardiogram"

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Chen, Wenxi. "Electrocardiogram." In Seamless Healthcare Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69362-0_1.

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Cooley, Laura A., Daniel G. Bausch, Marija Stojkovic, et al. "Electrocardiogram." In Encyclopedia of Intensive Care Medicine. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-00418-6_200.

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Cannon, Bryan. "Electrocardiogram." In Visual Guide to Neonatal Cardiology. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781118635520.ch12.

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Pagliaro, Pasquale, Claudia Penna, and Raffaella Rastaldo. "Electrocardiogram." In Basic Cardiovascular Physiology. River Publishers, 2022. http://dx.doi.org/10.1201/9781003337294-10.

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Cheung, Yiu-fai. "Electrocardiogram." In Congenital and Paediatric Acquired Heart Disease in Practice. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2862-0_5.

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Park, Kwang Suk. "Electrocardiogram." In Humans and Electricity. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20784-6_7.

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Rodriguez, Alexis P. "The Electrocardiogram." In Cardiology Procedures. Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-7290-1_18.

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Abedin, Zainul, and Robert Conner. "The Electrocardiogram." In Developments in Cardiovascular Medicine. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4607-8_1.

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Carroll, Douglas. "Electrocardiogram (EKG)." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_452.

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LaCaille, Lara, Anna Maria Patino-Fernandez, Jane Monaco, et al. "Electrocardiogram (EKG)." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_452.

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Conference papers on the topic "Electrocardiogram"

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Argaw, Naomi, Diwas Pandey, and Scott Wallace. "Biometric Authentication via Electrocardiogram Traces." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825472.

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Pardeshi, Prajakta M., and Ganesh Ramachandran. "Electrocardiogram telemetry." In 2011 3rd International Conference on Electronics Computer Technology (ICECT). IEEE, 2011. http://dx.doi.org/10.1109/icectech.2011.5941571.

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Septiyani, Friescha, Nuryani, Anto Satriyo Nugroho, Aida Noor Indrawati, and Trio Pambudi Utomo. "Fetal Electrocardiogram Extraction From Abdominal Electrocardiogram Using Wavelet." In The 2nd International Seminar on Science and Technology (ISSTEC 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.201010.032.

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Zhou, Qunyi. "The Electrocardiogram Classification Research on Electrocardiogram RR Interval Variation." In 2009 Second International Symposium on Computational Intelligence and Design (ISCID 2009). IEEE, 2009. http://dx.doi.org/10.1109/iscid.2009.270.

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Iliev, Ivo Tsvetanov, Serafim Dimitrov Tabakov, and Irena Ilieva Jekova. "Paced electrocardiogram simulation." In 2018 IEEE XXVII International Scientific Conference Electronics (ET). IEEE, 2018. http://dx.doi.org/10.1109/et.2018.8549612.

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Khan, Muhammad Umar, Muhammad Saad, Sumair Aziz, Javeria Mumtaz Ch., Syed Zohaib Hassan Naqvi, and Muhammad Adnan Qasim. "Electrocardiogram based Gender Classification." In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE, 2020. http://dx.doi.org/10.1109/icecce49384.2020.9179305.

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Reddy. "Digital Model For Electrocardiogram." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.595748.

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Reddy, M. R. S. "Digital model for electrocardiogram." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5761140.

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Bedrossian, Pascal, Frederic Oweijane, Kyo Hyo Kim, and Falih Ahmad. "On Denoising Electrocardiogram Signals." In International Engineering Science Technology Online Conference. CLOUD PUBLICATIONS, 2019. http://dx.doi.org/10.23953/cloud.iestoc.418.

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WEI, DAMING. "TWELVE-LEAD ELECTROCARDIOGRAM TELEMONITORING." In Proceedings of the 31st International Congress on Electrocardiology. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812702234_0179.

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Reports on the topic "Electrocardiogram"

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Anant, K. S. Wavelet transform analysis of transient signals: the seismogram and the electrocardiogram. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/611772.

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Shelly, Iris. Algorithm for Premature Ventricular Contraction Detection from a Subcutaneous Electrocardiogram Signal. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.3293.

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Clapp, N. E., L. M. Hively, and R. E. Stickney. Heart pathology determination from electrocardiogram signals by application of deterministic chaos mathematics. CRADA final report. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/325739.

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Weng, JIeqiong, Jingfang Zhang, Ke Xu, et al. Efficacy of Shexiang Baoxin Pills Combined with Statins on Blood Lipid Profile in Patients with Coronary Heart Disease: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0100.

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Review question / Objective: P（Population) ：Patients with coronary heart disease; I（Intervention) : Statins treatment in combination with Shexiang Baoxin pill; C（Comparison): Statins alone; O（Outcome）: Improvement of symptoms and blood lipids; S（Study design）：Clinical randomized trials. Eligibility criteria: To be included, trials were required to meet the following criteria: (1) patients were included in the studies according to diagnostic criteria of coronary heart disease established by the WHO, InternationalSociety of Cardiology and Association (ISCA), Internal Medicine, 7th edition ( IM-7

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Zhou, Ruhua, Jingjing Xu, Jiaochen Luan, et al. The Predictive Role of C-Reactive Protein on Sudden Death: A meta-analysis of prospective studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.11.0074.

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This study was a diagnostic research, so the content was decomposed according to PIRO : P: Patients diagnosed with sudden death; I: C-reactive protein; R: There is no gold standard for sudden death, and the definition of sudden death varies from literature to literature. The World Health Organization defines sudden death: "Patients who are normally healthy or seemingly healthy die suddenly due to natural diseases in an unexpectedly short period of time." In our study, sudden death is determined by the history, symptoms, physical examination and electrocardiogram results assesed by doctor. If d

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Madsen, Jens, Nikhil Kuppa, and Lucas Parra. The Brain, Body, and Behaviour Dataset - Neural Engineering Lab, CCNY. Fcp-indi, 2025. https://doi.org/10.15387/fcp_indi.retro.bbbd.

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When humans engage with video, their brain and body interact in response to sensory input. To investigate these interactions, we recorded and are releasing a dataset from N=178 participants across five experiments featuring short online educational videos. This dataset comprises approximately 110 hours of multimodal data including electrocardiogram (ECG), heart rate, respiration, breathing rate, pupil size, electrooculogram (EOG), gaze position, saccades, blinks, fixations, head movement, and electroencephalogram (EEG). Participants viewed 3-6 videos (mean total duration: 28±5 min) to test att

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Doerschuk, Peter C., Robert R. Tenney, and Alan S. Willsky. Modeling Electrocardiograms Using Interacting Markov Chains. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada162758.

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Peidro, Roberto Maximino, Graciela Beatriz Brión, Martín Bruzzese, and Gustavo Castiello. La repolarización temprana en el electrocardiograma del futbolista. Siicsalud.com, 2015. http://dx.doi.org/10.21840/siic/148275.

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Tang, Menglin, Wenyi Gan, Lin Hu, and Yulan Luo. Impact of peripherally inserted central venous catheter associated phlebitis in Neonate guided by intracavitary electrocardiogram：A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.8.0012.

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Palomino Potes, Heidys, and Catalina Olaya-López. Rol de enfermería en las alteraciones electrocardiográficas. Ediciones Universidad Cooperativa de Colombia, 2021. http://dx.doi.org/10.16925/gcgp.39.

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El profesional de enfermería que se desempeña en el ámbito clínico o comunitario se enfrenta diariamente a la atención de personas con múltiples alteraciones en su estado de salud, lo cual requiere acciones complejas de cuidado. En muchas ocasiones, el equipo interdisciplinario de enfermería es el primero en detectar una alteración electrocardiográfica y su actuación puede ser fundamental en la evolución del paciente. El electrocardiograma ECG de 12 derivaciones es una herramienta útil para el diagnóstico de síndromes coronarios agudos y arritmias en el servicio de urgencias. Cada alteración e

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