Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Study on the Power Spectral Analysis of Heart Rate Variability

HRV의 전력스펙트럼 분석에 관한 연구

  • Chung, S.J. (Department of Electrical Engineering, Yonsei University) ;
  • Jeong, K.S. (Department of Electrical Engineering, Yonsei University) ;
  • Shin, K.S. (Department of Electrical Engineering, Yonsei University) ;
  • Lee, B.C. (Samsung Advanced Institute of Technology) ;
  • Lee, M.H. (Department of Electrical Engineering, Yonsei University) ;
  • Ahn, J. (Department of Electrical Engineering, Yonsei University) ;
  • Chun, J.S. (Department of Electrical Engineering, Yonsei University)
  • 정성진 (연세대학교 공과대학 전기공학과) ;
  • 정기삼 (연세대학교 공과대학 전기공학과) ;
  • 신건수 (연세대학교 공과대학 전기공학과) ;
  • 이병채 (삼성종합기술원) ;
  • 이명호 (연세대학교 공과대학 전기공학과) ;
  • ;
  • Published : 1996.11.15
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Abstract

In this paper, we compare three mehods to obtain PSD of HRV - FFT, AR modeling, and residual integration. Using these methods we speculate the balances of the LP and HF powers of HRV at $0^{\circ}$, $45^{\circ}$, $90^{\circ}$ tilt levels of head-up tilt table for young and healthy 24 men. R peaks are located at the highest point of QRS complex detected from modified spacial velocity algorithm. In general FFT is the most fast way to obtain PSD but PSD from FFT has too many peaks and valleies. AR PSD can show frequency of ANS activity effectively but LF component of PSD is often invisible due to interference of VLF power. The residual integration method that decomposes the AR PSD is very efficient way to extract LF component. Applying the above three methods to HRV we can visualize the trend of PSD variations along tilt levels.

Keywords