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..
Full text not available from this repository.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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