대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)
- 대한의용생체공학회 1995년도 춘계학술대회
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- Pages.281-284
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- 1995
시계열 데이타의 흔돈도 분석 알고리즘에 관한 연구
A Study on Complexity Measure Algorithm of Time Series Data
- Lee, Byung-Chae (Dept. of Electrical Engineering Yonsei University) ;
- Jeong, Kee-Sam (Dept. of Electrical Engineering Yonsei University) ;
- Lee, Myoung-Ho (Dept. of Electrical Engineering Yonsei University)
- 발행 : 1995.05.12
초록
This paper describes a complexity measure algorithm based on nonlinear dynamics(chaos theory). In order to quantify complexity or regularity of biomedical signal, this paper proposed fractal dimension-1 and fractal dimension-2 algorithm with digital filter. Approximate entropy algorithm which measure a system regularity are also compared. In this paper investigate what we quantify of biomedical signal. These quantified complexity measure may be a useful information about human physiology.
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