대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)
- 대한의용생체공학회 1997년도 춘계학술대회
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- Pages.275-278
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- 1997
Lomb-Scargle알고리즘에 의한 심박변동의 파워스펙트럼 추정
The Power Spectral Estimation of Heart Rate Variability using Lomb-Scargle's algorithm
- 신건수 (연세대학교 의료기기 기술연구소) ;
- 정기삼 (연세대학교 공과대학 전기공학과) ;
- 최석준 (연세대학교 공과대학 전기공학과) ;
- 이정환 (연세대학교 공과대학 전기공학과) ;
- 이명호 (연세대학교 공과대학 전기공학과)
- Shin, K.S. (The Institute of Medical Instruments Technology, Yonsei Univ.) ;
- Jeong, K.S. (Dept. of Electrical Eng., College of Engineering, Yonsei Univ.) ;
- Choi, S.J. (Dept. of Electrical Eng., College of Engineering, Yonsei Univ.) ;
- Lee, J.W. (Dept. of Electrical Eng., College of Engineering, Yonsei Univ.) ;
- Lee, M.H. (Dept. of Electrical Eng., College of Engineering, Yonsei Univ.)
- 발행 : 1997.05.23
초록
Standard methods estimating the power spectral density(PSD) from an irregularly sampled cardiac event series require deriving a new evenly-spaced signal applicable to those methods. To avoid that requirement, in this study, the power spectrum of heart rate variability was estimated by Lomb-Scargle's algorithm, which is a means of obtaining PSD estimates directly from irregularly sampled timeseries observed in astronomy. To assess the performance of Lomb-Scargle algorithm in the power spectral analysis of heart rate variability, it was applied to various cardiac event series derived through integral pulse frequency modulation model(IPFM) simulation and from real ECG signals, and the resultant power spectra was compared with those obtained by a conventional method based on the FFT. In result, it is concluded that Lomb-Scargle's periodogram is very effective in the power spectral analysis of heart rate variability, especially in the presence of arrhythmia and/or dropouts of cardiac events.
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