Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)
- Volume 1995 Issue 11
- /
- Pages.109-112
- /
- 1995
A Study on Detection of Significant point in ECG using Neural Network
신경회로망을 이용한 ECG 특성점 검출에 관한 연구
- Sohn, Sang-Yoon (Dept. of Electrical Eng., Yonsei Univ.) ;
- Jeong, Kee-Sam (Dept. of Electrical Eng., Yonsei Univ.) ;
- Chung, Sung-Jin (Dept. of Electrical Eng., Yonsei Univ.) ;
- Lee, Myung-Ho (Dept. of Electrical Eng., Yonsei Univ.)
- Published : 1995.11.17
Abstract
This paper is a study on the detection of the significant point in ECG signal. ECG signal consists of two components; one is high frequency component to be detected and the other is low frequency component to be removed. AR model is appropriate for modelling and removing the low frequency component. AR model coefficients are updated by artificial neural network algorithm. We can remove the background noise(low frequency) by passing through the AR filter. The remaining signals which include high frequency noise are sent to the matched filter to pass only the signal which we want to extract. The template used in matched filter is updated adaptively.
Keywords