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Journal articles on the topic 'Electrocardiogram'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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

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This article is to design and develop a programming electrocardiogram (ECG) generator. It can be used to test the efficiency of algorithms and to calibration and maintenance of electrocardiograph equipment. We simplified and modified the three coupled ordinary differential equations of McSharry’s model to single differential equation to generate the synthetic ECG waveforms. This generator can provide the adjusted amplitude, heart rate, QRS-complex slopes, and P- and T-wave position parameters. The system can set the rage of the average gear rate from 20 to 120 beat per minute (BPM) with an 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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Filatova, Anna Yevhenivna, Anatoliy Ivanovych Povoroznyuk, Bohdan Petrovych Nosachenko, and Mohamad Fahs. "Synthesis of an integral signal for solving the problem of morphological analysis of electrocardiograms." Herald of Advanced Information Technology 5, no. 4 (2022): 263–74. http://dx.doi.org/10.15276/hait.05.2022.19.

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This work is devoted to solving the scientific and practical problem of morphological analysis of electrocardiograms based on an integral biomedical signal with locally concentrated features. In modern conditions of introduction of telemedicine in the health care system of Ukraine the creation of cardiological decision support systems based on automatic morphological analysis of electrocardiogram is of particular importance. The authors proposed a method for synthesizing an integral electrocardiogram in the frontal plane from all limb leads, taking into account the lead angle in the hexaxial r

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12

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

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The purpose of these experiments is to understand the function and importance of an electrocardiogram (ECG). In general, an electrocardiogram experiment entails tests conducted to evaluate the hearts rhythm and electrical activity. The laboratory activities involved building the circuit required for recording the electrocardiogram, and the respective ECG signals were effectively converted for clearer observation. The experiment objective was achieved through the following procedures in the lab manual. MATLAB software was effectively used to obtain the plot for the ECG signal by exploiting the

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

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Background Existing evidence, predominantly from Western countries, has demonstrated that athletes’ hearts undergo structural, physiological, and electrical changes, leading to abnormal electrocardiogram readings that are said to be training-related. Athletes with non-training-related electrocardiographic abnormalities risk developing sudden cardiac death. The lack of studies on this issue in the Asian population warrants further exploration. Therefore, the aim of this study was to estimate the prevalence and predictive factors contributing to electrocardiogram abnormalities among athletes in

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14

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

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15

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

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

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

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

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Introduction. Abnormalities in the electrocardiogram are more frequent in patients with cardiac sarcoidosis than in those having other diseases. The aim of this study was to determine the types and incidence of abnormalities in the electrocardiogram in patients with cardiac sarcoidosis. Results. The study sample included 30 patients (22 women and 8 men), their mean age being 45 years (23- 64). The clinical diagnosis was confirmed by echocardiography in 25 (83%) and by radionuclide ventriculography technetium-99m in five patients (17%). Abnormal electrocardiograms were found in 28 (93%) patient

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18

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

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This article reports the design and testing of a novel interactive method, abbreviated to ANALYSE (systemAtic aNALYsiS of Electrocardiography) to assist interpretation of 12-lead electrocardiogram. 15 participants interpreted a total of 150 12-lead electrocardiogram recordings randomly using a standard and this novel (ANALYSE) reporting format. The overall aggregated mean score attained using the standard format was 53% (range = 38–82%, standard deviation = 12). Conversely, the overall aggregated mean score attained using ANALYSE format was 75% (range = 55%–93%, standard deviation = 9). A tota

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

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The Nursing and Midwifery Council highlights that, at the point of qualifying, registered nurses should be able to undertake routine investigations, interpret and share the findings, as appropriate. This includes electrocardiograms. Registered nurses who act as practice assessors for student nurses need to have the skills themselves to be able to appropriately assess the student. This article investigates whether practice assessors hold the appropriate knowledge and skills to be able to undertake assessments. The understanding of the terminology ‘interpreting findings’ can be seen in different

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

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Suppressing the elevation in core body temperature is an important factor in preventing heatstroke. However, there is still no non-invasive method to sense core body temperature. This study proposed an algorithm that estimates core body temperature based on electrocardiogram signals. A total of 12 healthy men (mean age ± SD = 39.6 ± 13.4) performed an ergometric exercise load test under two conditions of exercise load in an environmental chamber adjusted to a temperature of 35°C and humidity of 50%. Vital sensing data such as electrocardiograms, core body temperatures, and body surface tempera

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Bambang, Guruh Irianto, and Miftahul Maghfiroh Anita. "Low-cost central monitor based personal computer with electrocardiogram and heart rate parameters via wireless XBee Pro." TELKOMNIKA 21, no. 04 (2023): 881–90. https://doi.org/10.12928/telkomnika.v21i4.21474.

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Heart rate signals and electrocardiograms are crucial indicators of a person’s health, particularly for individuals in intensive care units (ICU). The goal of this study is to wirelessly use a central monitoring system to continually and in real-time monitor the electrocardiogram signal and heart rate. The result of this research is that a wireless system can transmit continuous, distant, and real-time electrocardiogram and heart rate readings. Two transmitters and two receivers were used to send the signal in real-time. Lead II was used to capture the electrocardiogram (ECG) data, which

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

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Heart rate monitoring is the predominant quantitative health indicator of a newborn in the delivery room. A rapid and accurate heart rate measurement is vital during the first minutes after birth. Clinical recommendations suggest that electrocardiogram (ECG) monitoring should be widely adopted in the neonatal intensive care unit to reduce infant mortality and improve long term health outcomes in births that require intervention. Novel non-contact electrocardiogram sensors can reduce the time from birth to heart rate reading as well as providing unobtrusive and continuous monitoring during inte

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23

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

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Background: Stroke is a leading cause of mortality and disability across the globe. Emergency Medical Services assess and transport a large number of these patients in the prehospital setting. Guidelines for UK ambulance services recommend recording a 12-lead electrocardiogram in the prehospital environment, providing this does not add to significant delay in transporting the patient to hospital; however, this recommendation is not based on any evidence. Methods: A systematic review was conducted to search and synthesise the literature surrounding the use of prehospital electrocardiograms in a

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

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ABSTRACTObjectives: to measure the time to perform the electrocardiogram after admittance of patient with thoracic pain; investigate the characteristics of exams and treatment rendered to patient diagnosed with acute myocardial infarction (AMI) with ST-segment elevation. Method: it is a descriptive and exploratory study. The data was extracted from attendance records of patients with thoracic pain at an emergency room, between June and August 2010. The project was approved by the Research Ethics Committee of the University of Paraiba Valley (Univap) (H16/2010). The sample to evaluate the elect

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

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We prospectively evaluated 20 patient admissions for severe exacerbation of childhood asthma at The Children's Hospital, Boston, to detect evidence of cardiotoxicity. Evidence of cardiotoxicity was found in all six patient admissions for which isoproterenol infusion was utilized. This included marked elevation of serum creatine phosphokinase isoenzyme (CPK-MB) levels and electrocardiogram abnormalities consistent with transient myocardial ischemia. Peak serum CPK-MB levels were significantly lower and electrocardiogram abnormalities were significantly less frequent during 14 patient admissions

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Akopyan, В. K. "Algorithm for Detecting Reference Points on a Digital Electrocardiogram in Real Time." Proceedings of Telecommunication Universities 10, no. 6 (2024): 46–54. https://doi.org/10.31854/1813-324x-2024-10-6-46-54.

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Relevance. The use of digital electrocardiographs and cardiac monitors with built-in algorithms for automatic processing, analysis and interpretation of electrocardiograms allows the doctor to effectively diagnose cardiac arrhythmias. It is known that in order to provide emergency care to a patient, the duration of arrhythmia diagnostics should not exceed several tens of seconds, which requires the emergence of new algorithms for detecting informative features indicating arrhythmia, operating in real time. The need to introduce new and effective technologies for diagnosing cardiovascular disea

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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