대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)
- 대한의용생체공학회 1996년도 춘계학술대회
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- Pages.27-30
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- 1996
A Study on the Nonlinear Dynamics of PR Interval Variability Using Surrogate data
- Lee, J.M. (Interdisciplinary Program in Medical and Biological Engineering Major) ;
- Park, K.S. (Dept. of Biomedical Engineering, Seoul National University) ;
- Shin, I.S. (Dept. of Mathematics Education, Korea National University of Education)
- 발행 : 1996.05.17
초록
PR interval variability has been proposed as a noninvasive tool for in-vestigating the autonomic nervous system as welt as heart rate variability. The goal of this paper is to determine whether PR interval variability is generated from deterministic nonlinear dynamics. The data used in this study is a 24-hour bolter ECGs of 20 healthy adults. We developed an automatic PR interval measurement algorithm, and tested it using MIT ECG Databases. The general discriminants of nonlinear dynamics, such as, correlation dimension and phase space reconstruction are used. Surrogate data is generated from simpler linear models to have similar statistical characteristics with the original data. Nonlinear discriminants are applied to both data, and compared for any significant results. It was concluded that PR interval variability shows non-linear characteristics.
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