Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)
- Volume 1992 Issue 11
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- Pages.47-50
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- 1992
ECG Pattern Classification Using Back-Propagation Neural Network
역전달 신경회로망을 이용한 심전도 패턴분류
- Lee, Je-Suk (Dept. of Electrical Engineering, Yonsei University) ;
- Kwon, Hyuk-Je (Dept. of Electrical Engineering, Yonsei University) ;
- Lee, Jung-Whan (Dept. of Electrical Engineering, Yonsei University) ;
- Lee, Myoung-Ho (Dept. of Electrical Engineering, Yonsei University)
- Published : 1992.11.13
Abstract
This paper describes pattern classification algorithm of ECG using back-propagation neural network. We presents new feature extractor using second order approximating function as the input signals of neural network. We use 9 significant parameters which were extracted by feature extractor. 5 most characterized ECG signal pattern is classified accurately by neural network. We use AHA database to evaluate the performance ol the proposed pattern classification algorithm.
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