힐버트 변환에 기반한 순간주파수 추정을 이용한 개선된 심전도 유도 호흡신호 추출 알고리즘

An Improved Algorithm for Respiration Signal Extraction from Electrocardiogram Using Instantaneous Frequency Estimation based on Hilbert Transform

  • 발행 : 2004.10.01

초록

In this paper, an improved algorithm for the extraction of respiration signal from the electrocardiogram (ECG) is proposed. The whole system consists of two-lead electrocardiogram acquisition (lead Ⅰ and Ⅱ), baseline fluctuation elimination, R-wave detection, adjustment of sudden change in R-wave area using moving average, and optimal lead selection. In order to solve the problem of previous algorithms for the ECG-derived respiration (EDR) signal acquisition, we proposed a method for the optimal lead selection. An optimal EDR signal among the three EDR signals derived from each lead (and arctangent of their ratio) is selected by estimating the instantaneous frequency using the Hilbert transform, and then choosing the signal with minimum variation of the instantaneous frequency. The proposed algorithm was tested on 15 subjects, and we could obtain satisfactory respiration signals that shows high correlation (r>0.9) with the signal acquired from the chest-belt respiration sensor.

키워드

참고문헌

  1. J.P. Saul, R.D. Berger, P.Albrecht, 'Transfer function analysis of the circulation: unique insights into cardiovascular regulation', Am. J. Physiol. 261(Heart Circ. Physiol. 30) pp. 1231-1245, 1991
  2. H, Cammann, J. Michel, 'How to avoid misinterpretation of heart rate variability power spectra?', Computer methods and programs in biomedicine, Vol. 68, pp. 15-23, 2002 https://doi.org/10.1016/S0169-2607(01)00154-7
  3. D. Dobrev, I. Daskalov, 'Two-electrode telemetric instrument for infant heart rate and apnea monitoring', Medical Engineering & Physics, Vol. 20, pp. 729-734, 1998 https://doi.org/10.1016/S1350-4533(98)00091-5
  4. G.B. Moody, R.G. Mark, A. Zoccola, S. Mantero, 'Derivation of respiration signals from multi-lead ECGs', Computers in Cardiology, Vol. 12, pp. 113-116, 1985
  5. G.B. Moody, R.G. Mark, M.A. Bump, J.S. Weinstein, 'Clinical validation of ECG-derived respiration technique', Computers in Cardiology, Vol. 13, pp. 507-510, 1986
  6. L. Zhao, S. Reisman, T. Findley, 'Respiration from the electrocardiogram during heart rate variability studies', IEEE Compo in Cardiol., Vol. 21, pp. 53-56, 1994
  7. T.C. Chou, 'Electrocardiography in clinical practice-adult and pediatric', Saunders, pp. 3-22, 1996
  8. Harley R. Myler, Arthur R. Weeks 'Computer imaging recipes in C' PTR Prentice Hall, 1993
  9. J. Pan, W. J. Tompkins, 'A real-time QRS detection algorithm', IEEE Trans. Biomed, Eng., Vol. BME-32, No.3, pp. 230-236, 1985 https://doi.org/10.1109/TBME.1985.325532
  10. D. Caggiano, S. Reisman, 'Respiration derived from electrocardiogram: a quantitative comparison of three different methods', Proceeding of the IEEE twenty-second annual, pp. 103-104, 1996
  11. J.L. Urrusti, W.J. Tompkins, 'Performance evaluation of an ECG QRS complex detection algorithm', EMBS, Proceeding of the 15th annual international conference of the IEEE, pp. 800-801, 1993
  12. L. Cohen, 'Time-frequency distributions - A review', Proc. IEEE, Vol. 77, pp. 941-981, 1989 https://doi.org/10.1109/5.30749
  13. A. Reilly, G. Frazer, B. Boashash, 'Analytic signal generation-tips and traps', IEEE Trans. signal processing, Vol. 42, No. 11, pp. 3241-3245, 1994 https://doi.org/10.1109/78.330385
  14. H. Nazeran, 'Reconstruction of respiratory patterns from electrocardiographic signals', Bioelectromagnetism, Proceedings 2nd international conference, pp. 183-184, 1998 https://doi.org/10.1109/ICBEM.1998.666454