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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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) |
|---|---|
| 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 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/6936 |
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