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

Park Sung-Bin (연세대 의공학과)
Yi Kye-Hyoung (연세대 의공학과)
Kim Kyung-Hwan (연세대 의공학과)
Yoon Hyoung-Ro (연세대 의공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.53, no.10, 2004 , pp. 733-740 More about this Journal
Abstract
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.
Keywords
EDR; Hilbert-Transform; Instantaneous Frequency;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 H. Nazeran, 'Reconstruction of respiratory patterns from electrocardiographic signals', Bioelectromagnetism, Proceedings 2nd international conference, pp. 183-184, 1998   DOI
2 A. Reilly, G. Frazer, B. Boashash, 'Analytic signal generation-tips and traps', IEEE Trans. signal processing, Vol. 42, No. 11, pp. 3241-3245, 1994   DOI   ScienceOn
3 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
4 L. Cohen, 'Time-frequency distributions - A review', Proc. IEEE, Vol. 77, pp. 941-981, 1989   DOI   ScienceOn
5 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
6 Harley R. Myler, Arthur R. Weeks 'Computer imaging recipes in C' PTR Prentice Hall, 1993
7 J. Pan, W. J. Tompkins, 'A real-time QRS detection algorithm', IEEE Trans. Biomed, Eng., Vol. BME-32, No.3, pp. 230-236, 1985   DOI   ScienceOn
8 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
9 T.C. Chou, 'Electrocardiography in clinical practice-adult and pediatric', Saunders, pp. 3-22, 1996
10 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
11 D. Dobrev, I. Daskalov, 'Two-electrode telemetric instrument for infant heart rate and apnea monitoring', Medical Engineering & Physics, Vol. 20, pp. 729-734, 1998   DOI   ScienceOn
12 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
13 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
14 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   DOI   ScienceOn