Integrated Telemedicine System for ECG collection and Semi-Automatic Analysis

Eneh Afam Samuel, Harmony Nnenna Nwobodo-Nzeribe and Okoye Japhet Okwudili
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Eneh Afam Samuel: Department of Biomedical Engineering, David Umahi Federal University of Health Science, Nigeria
Harmony Nnenna Nwobodo-Nzeribe: Department of Computer Engineering, Enugu state University of Science and Technology Agbani, Nigeria
Okoye Japhet Okwudili: Department of Chemical Engineering, Enugu state University of Science and Technology Agbani, Nigeria

Biomedical Journal of Scientific & Technical Research, 2024, vol. 59, issue 1, 51039-51048

Abstract: Significant hazards to cardiovascular health are associated with arrhythmias, or abnormal heartbeats, which frequently need to be detected early for optimal care. Conventional screening techniques may not always yield a diagnosis in a timely manner and can be laborious. The creation of a novel artificial intelligence (AI)-based tool to improve arrhythmia screening is presented in this paper.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:59:y:2024:i:1:p:51039-51048

DOI: 10.26717/BJSTR.2024.59.009233

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