Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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PSD Analysis of HRV Using the Kaiser Window

Kaiser Window를 이용한 HRV의 PSD분석

  • Choi, K.S. (Dept. of Electrical & Computer Eng. Yonsei University) ;
  • Kim, D.C. (Dept. of Electrical & Computer Eng. Yonsei University) ;
  • Lee, J.Y. (Dept. of Electrical & Computer Eng. Yonsei University) ;
  • Kim, J.H. (Dept. of Electrical & Computer Eng. Yonsei University) ;
  • Jeong, K.S. (Dept. of Medical Information System, Yon-In Songdam College) ;
  • Lee, M.H. (Dept. of Electrical & Computer Eng. Yonsei University)
  • 최규섭 (연세대학교 전기.컴퓨터공학과) ;
  • 김동철 (연세대학교 전기.컴퓨터공학과) ;
  • 이준영 (연세대학교 전기.컴퓨터공학과) ;
  • 김정훈 (연세대학교 전기.컴퓨터공학과) ;
  • 정기삼 (용인송담대 의료정보시스템과) ;
  • 이명호 (연세대학교 전기.컴퓨터공학과)
  • Published : 2000.07.17
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Abstract

A new method for HRV(heart rate variability} detection from the R-wave signal, based on the IPFM (integral pulse frequency modulation) model and its similarity to pulse position modulation, is presented. The proposed method exert lowpass filtering with a Kaiser window. In this paper, The proposed method presents a powerful, but simple, tool for investigation of HRV. It also guarantees real-time behavior, simplicity in design, and phase linearity. Even without the basic assumption of IPFM model, the new algorithm can still be used on-line and with higher performance. It is thoroughly proved that lowpass filtering is an ideal method for PSD (Power Spectrum Density) analysis of HRV.

Keywords