A STUDY ON THE TIME-VARYING POWER SPECTRUM ESTIMATION ALGORITHM USING TIME-FREQUENCY REPRESENTATION

시주파수 표현에 의한 시변파워스펙트럼 추정 알고리즘에 관한 연구

  • Lee, Jeong-Whan (Dept. of Electrical & Computer Engineering, College of Engineering, Yonsei University) ;
  • Lee, Joon-Young (Dept. of Electrical & Computer Engineering, College of Engineering, Yonsei University) ;
  • Lee, Dong-Joon (Dept. of Electrical & Computer Engineering, College of Engineering, Yonsei University) ;
  • Kim, Han-Soo (Dept. of Electrical & Computer Engineering, College of Engineering, Yonsei University) ;
  • Jeon, Woo-Chul (Dept. of Electrical & Computer Engineering, College of Engineering, Yonsei University) ;
  • Lee, Myoung-Ho (Dept. of Electrical & Computer Engineering, College of Engineering, Yonsei University)
  • 이정환 (연세대학교 공과대학 전기 및 컴퓨터공학과) ;
  • 이준영 (연세대학교 공과대학 전기 및 컴퓨터공학과) ;
  • 이동준 (연세대학교 공과대학 전기 및 컴퓨터공학과) ;
  • 김한수 (연세대학교 공과대학 전기 및 컴퓨터공학과) ;
  • 전우철 (연세대학교 공과대학 전기 및 컴퓨터공학과) ;
  • 이명호 (연세대학교 공과대학 전기 및 컴퓨터공학과)
  • Published : 1999.07.19

Abstract

This study proposed a new algorithm to assess autonomic function activity using Time-Frequency Representation(TFR). TFR is a way of describing the time-valiant energy of a signal. A discrete Wigner representation that is capable of filtering out any cross terms occuring in the Wigner-Ville Distribution(WVD) is used for time-variant energy distribution of heart rate variability(HRV) signals. And the marginal condition are evaluated to estimate power spectrum of HRV signals. The proposed algorithm showed that estimated power spectrum of HRV signals well describe the autonomic nerve system function and also showed the dynamics of autonomic nervous system response.

Keywords