Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)
- Volume 1989 Issue 05
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- Pages.19-22
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- 1989
Peak Detection using Syntactic Pattern Recognition in the ECG signal
Syntactic 패턴인식에 의한 심전도 피이크 검출에 관한 연구
- Shin, Kun-Soo (Dept. of Electrical Eng., Yonsei University) ;
- Kim, Yong-Man (Dept. of Electrical Eng., Yonsei University) ;
- Yoon, Hyung-Ro (Dept. of Medical Eng., Yonsei University, College of Medicine) ;
- Lee, Ung-Ku (Yonsei University) ;
- Lee, Myoung-Ho (Dept. of Electrical Eng.,Yonsei University)
- 신건수 (연세대학교 공과대학 전기공학과) ;
- 김용만 (연세대학교 공과대학 전기공학과) ;
- 윤형로 (연세대학교 보건과학대학 의용공학과, 의과대학) ;
- 이웅구 (연세대학교 심장내과) ;
- 이명호 (연세대학교 공과대학 전기공학과)
- Published : 1989.05.26
Abstract
This paper represents a syntactic peak detection algorithm which detects peaks in the ECG signal. In the algorithm, the input waveform is linearly approximated by "split-and-merge" method, and then each line segment is symbolized with primitive set. The peeks in the symbolized input waveform are recognized by the finite-state automata, which the deterministic finite-state language is parsed by. This proposed algorithm correctly detects peaks in a normal ECG signal as well as in the abnormal ECG signal such as tachycardia and the contaminated signal with noise.
Keywords