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ECG Biosignal: Vital for Detecting Cardiovascular Diseases

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

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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)
Uncontrolled Keywords: Biosignals, cardiovascular diseases, ECG
Subjects: Q Science > Q Science (General)
Q Science > QH Natural history > QH301 Biology
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 19 Aug 2016 08:44
Last Modified: 17 Mar 2017 09:44

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