Results 51 to 60 of about 678,002 (383)

Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks

IEEE Access, 2020
Electrocardiograms (ECGs) play a vital role in the clinical diagnosis of heart diseases. An ECG record of the heart signal over time can be used to discover numerous arrhythmias.
Abdelrahman M. Shaker, M. Tantawi, Howida A. Shedeed, M. Tolba   +3 more
semanticscholar   +1 more source

A New Wristband Design for Cardiac Event Recorder and Telemetry System

Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü, 2021
With the system implemented, a telemetry system has been developed to assist in the follow-up and diagnosis of people with heart disease or those who are likely to have heart disease.
Gürkan BİLGİN, Mustafa OKTAY, Süleyman BİLGİN   +2 more
doaj   +1 more source

A Comprehensive Survey on ECG Signals as New Biometric Modality for Human Authentication: Recent Advances and Future Challenges

IEEE Access, 2021
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field and has recently received significant interest as a promising biometric trait.
Anthony Ngozichukwuka Uwaechia, D. A. Ramli   +1 more
semanticscholar   +1 more source

Retracted: Association of QT interval indices with cardiac autonomic neuropathy in diabetic patients

Mìžnarodnij Endokrinologìčnij Žurnal, 2022
Background. Cardiovascular autonomic neuropathy (CAN) is a severely debilitating yet underdiagnosed condition in patients with diabetes mellitus. The prevalence can range from 2.5 % (based on the primary prevention cohort in the Diabetes Control and ...
Sanjay Kumar, Satyanath Reddy Kodidala, Srinivasa Jayachandra   +2 more
doaj   +1 more source

Validity of the Polar V800 heart rate monitor to measure RR intervals at rest [PDF]

, 2015
Purpose To assess the validity of RR intervals and short-term heart rate variability (HRV) data obtained from the Polar V800 heart rate monitor, in comparison to an electrocardiograph (ECG). Method Twenty participants completed an active orthostatic test
B Makivić, D Nunan, D Nunan, David Giles, DR Seals, DS Quintana, F Gamelin, FM Fouad, FX Gamelin, G Atkinson, G Sandercock, H-S Song, H-T Yi, J Achten, J Cohen, J Morales, JF Thayer, JF Thayer, JM Bland, JP Weir, L Vanderlei, LGG Porto, M Brennan, M Kingsley, M Mateo, M Pöyhönen, M Radespiel-Tröger, M Weippert, M Weippert, MB Wallén, MP Tarvainen, N Karim, Nick Draper, P Dash, S Akselrod, V Spallone, William Neil   +36 more
core   +2 more sources

ECG-SL: Electrocardiogram(ECG) Segment Learning, a deep learning method for ECG signal [PDF]

arXiv, 2023
Electrocardiogram (ECG) is an essential signal in monitoring human heart activities. Researchers have achieved promising results in leveraging ECGs in clinical applications with deep learning models. However, the mainstream deep learning approaches usually neglect the periodic and formative attribute of the ECG heartbeat waveform.
arxiv  

An Approach to Evaluation of Clinically Healthy People by Preventive Cardio Control

Cybernetics and Information Technologies, 2019
This article presents the main algorithms and the methodology for the development of the evaluation criteria and the results of the work of the program environment developed for evaluation and analysis of the electrocardiographic signals in the ...
Manukova Aneliya, Marinov Matey, Grozeva Maya   +2 more
doaj   +1 more source

Non-Invasive Device for Blood Pressure Wave Acquisition by Means of Mechanical Transducer

Sensors, 2019
Blood pressure wave monitoring provides interesting information about the patient’s cardiovascular function. For this reason, this article proposes a non-invasive device capable of capturing the vibrations (pressure waves) produced by the carotid artery ...
David Zambrana-Vinaroz, Jose Maria Vicente-Samper, Carlos G. Juan, Vicente Esteve-Sala, Jose Maria Sabater-Navarro   +4 more
doaj   +1 more source

Дробная математическая модель Макшерри

Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2023
В статье предложено обобщение математической модели Макшерри для моделирования искусственной электрокардиограммы — изменяющегося во времени сигнала, отражающий ионный ток, который заставляет сердечные волокна сокращаться, а затем расслабляться. Обобщение
Алимов, Х.Т., Дзамихова, Ф.Х., Паровик, Р.И.   +2 more
doaj   +1 more source

Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets

, 2018
Objective: The utility of fetal heart rate (FHR) monitoring can only be achieved with an acquisition sampling rate that preserves the underlying physiological information on the millisecond time scale (1000 Hz rather than 4 Hz).
Burns, P, Cao, M, Desrochers, A, Fecteau, G, Frasch, MG, Herry, CL, Shen, C, Wu, HT   +7 more
core   +1 more source