Weighted averaging of ECG signals based on partition of input set in time domain

• Autorzy: Momot A. , Momot M. , Łęski J.
• Języki publikacji: EN

Abstrakty

EN

The paper presents new approach to problem of signal averaging which is commonly used to extract a useful signal distorted by a noise. The averaging is especially useful for biomedical signal such as ECG signal, where the spectra of the signal and noise significantly overlap. In reality can be observed variability of noise power from cycle to cycle which is motivation for using methods of weighted averaging. Performance of the new method, based on partition of input set in time domain and criterion function minimization, is experimentally compared with the traditional averaging by using arithmetic mean, weighted averaging method based on empirical Bayesian approach and weighted averaging method based on criterion function minimization.

Słowa kluczowe

EN

ECG signal; weighted averaging; noise reduction

PL

sygnał EKG; ważone uśrednianie; redukcja hałasu

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2007
• Tom: Vol. 11
• Strony: 165--170
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Momot A.

• Silesian University of Technology, Institute of Computer Science, 16 Akademicka St., 44-101 Gliwice, Poland

autor

Momot M.

autor

Łęski J.

Bibliografia

• [1] AUGUSTYNIAK P., Time–frequency modelling and discrimination of noise in the electrocardiogram. Physiological Measurement, Vol. 24, pp. 1–15, 2003.
• [2] BATAILLOU E., THIERRY E., RIX H., MESTE O., Weighted averaging using adaptive estimation of the weights. Signal Processing, Vol. 44, pp. 51–66, 1995.
• [3] ŁĘSKI J., Application of time domain signal averaging and Kalman filtering for ECG noise reduction, Ph.D. dissertation, Silesian University of Technology, Gliwice, 1989.
• [4] ŁĘSKI J., Robust Weighted Averaging, IEEE Transactions on Biomedical Engineering, Vol. 49(8), pp. 796-804, 2002.
• [5] MOMOT A., MOMOT M., ŁĘSKI J., Empirical Bayesian Averaging Method and its Application to Noise Reduction in ECG Signal. Journal of Medical Informatics and Technologies, Vol. 10, pp.93–101, 2006.
• [6] SCHAMROTH L., An introduction to electrocardiography. Oxford Press, 1986.
• [7] International Electrotechnical Commission Standard 60601-3-2, 1999.