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ECG Biosignal: Vital for Detecting Cardiovascular Diseases

Takpor, Temitope O. and Ndujiuba, Charles Uzoanya (2016) ECG Biosignal: Vital for Detecting Cardiovascular Diseases. In: Proceedings of the World Congress on Engineering 2016 Vol I WCE 2016, June 29 - July 1, London, U.K..

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Abstract

The World Health Organization estimated that 31% mortality rate in the World is due to cardiovascular diseases such as heart arrhythmia and heart failure. Therefore there is a need to innovate methods to accurately detect those diseases from Electrocardiography (ECG) biosignals, and develop algorithms to analyze the signals for precise diagnosis by physicians. This paper is a study of ECG biosignals, detection of heart arrhythmia from characteristic pattern of the ECG waveform, and signal-processing techniques for analysis of the biosignals. Also in this study, ECG results of a male volunteer are shown to emphasize the importance of exercises as one of the factors for preventing cardiovascular diseases.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Dr. Charles U Ndujiuba
Date Deposited: 28 Sep 2016 10:25
Last Modified: 28 Sep 2016 10:25
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/7266

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