Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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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)
  • 이종민 (서울대학교 협동과정 의용생체공학과) ;
  • 박광석 (서울대학교 의과대학 의공학교실) ;
  • 신인선 (서울교원대학교 수학과)
  • Published : 1996.05.17
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Abstract

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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