PC-기반의 심박변동 팍워스픽트럼밀도 분석기 설계

The Design of PC-based Power Spectral Density Analyzer of Heart Rate Variability

  • 김낙환 (경기공업대 컴퓨터응용제어과) ;
  • 이응혁 (한국산업기술대학교 전기공학과) ;
  • 민홍기 (인천대학 정보통신공학과) ;
  • 홍승홍 (인하대학교 전자공학과)
  • 발행 : 2003.09.01

초록

In this paper, we designed the PC-based analyzer of the power spectral density that could estimate the heart rate variability from time series data of R-R interval. The power spectral density estimated that it applied the autoregressive model to the measured electrocardiogram during a short period. Also, the characteristics of the designed analyzer are that it could process of the signal filtering, the generation and recomposition of time series and the feature extraction at the same time. Especially the analyzer reconstructed which applied the lowpass filter of the time series composed by the linear interpolation so as to enhance the signal-to-noise feature. We could estimate the power spectral density that confirmed a variety of power peak with low frequency range and high frequency rang of autonomic nerve by the heart rate variability.

키워드

참고문헌

  1. 生體信號-計測と 解析の 實際, Ryoji Suzuki, コロナ社, 1989
  2. Dunping Liao, Ralph W.Barnes, Llovd E.Chambless, and Geraroo Heiss, 'A computer algorithm to impute interrupted heart rate data for the spectral analysis of heart rate variability-the ARIC Study', Computers and Biomedical Reasarch, Vol. 29, pp. 140-151, 1996 https://doi.org/10.1006/cbmr.1996.0012
  3. R. B. Panerai, J. M. Rennie, A. W. R. Kelsall, D.H.Evans, 'Frequency-domain analysis of cerebral auto-regulation from spontaneous fluctuations in arterial blood pressure', Medical & Biological engineering & Computing, May, pp. 315-322, 1998 https://doi.org/10.1007/BF02522477
  4. Malliani A., Pagani M., Lombardi F., cerutti S., 'Cardiovascular neural regulation explored in the frequency domain,' Circulation, Vol. 84, pp. 1482-1492, 1991
  5. Hirsh J.A., Bishop B., 'Respiratory sinus arrythmia in humans: how breathing pattern modulates heart rate,' Am. J. Physiol, Vol. 241, pp. 620-629, 1981
  6. Heinz Rudiger, Lutz Klinghammer, 'The trigonometric regressive spectral analysis-a method for mapping of beat-to-beat recorded cardiovascular parameters on to frequency domain in comparison with Fourier transformation,' Computer Methods and programs in biomedicine, Vol. 58, pp. 1-15, 1999 https://doi.org/10.1016/S0169-2607(98)00070-4
  7. Role W., DeBore, John M., Karemaker, Jan Stackee, 'Comparing spectra of a series of point events particularly for heart rate variability data,' IEEE Trans. Biomed., Vol.31, No. 4, pp. 384-387, 1984 https://doi.org/10.1109/TBME.1984.325351
  8. 김낙환, 신재호, 한영환, 이웅혁, 민흥기, 홍승홍, '심박변동의 스텍트럼해석을 위한 자기회귀 모델차수 선택 알고리즘에 관한 연구,' 전자공학회 논문지, Vol. 38, SC-6, 2001. 6
  9. LARRY MARPLE, 'A new autoregressive spectrum analysis algorithm,' IEEE Trans. Acoust. Speech, Signal processing, Vol. 28, pp. 441-454, 1980 https://doi.org/10.1109/TASSP.1980.1163429
  10. John G.Webster, 'Medical instrumentation Application and design' Houghton Mifflinm pp7-8, 1978
  11. 池田謙一 著, 編輯部 譯, '의료용 전자공학', pp104, 기전연구사, 1993