Noise Reduction in High Resolution ECG by Using Frequency-domain Adaptive Filtering

• Autorzy: Cytowski J.
• Konferencja: X Polish-Czech Mathematical School (10 ; 04-07.06.2003 ; Poraj near Częstochowa, Poland)
• Języki publikacji: EN

Abstrakty

EN

In this paper a frequency-domain least-mean-square adaptive filter (FDLMS) is used to cancel noise in real time recording of the high resolution ECG (HRECG). In this paper, beside the classical FDLMS solutions, an application of the network of the time sequenced adaptive recurrent filter is shown. Such a filter requires of an additional synchronisatian algorithm, however, is able to tract rapidly varying nonstationarities without smoothing effect and therefore can be used for dynamically changing ECG signals. The results of our experiment show the importance of using digital signal processing when dealing with HRECG signal corrupted by noise.

Słowa kluczowe

EN

ECG; noise reduction; adaptive filter

PL

EKG; redukcja szumów; filtr adaptacyjny

• Wydawca: Wydawnictwo Uniwersytetu Humanistyczno-Przyrodniczego im. Jana Długosza w Częstochowie
• Czasopismo: Scientific Issues of Jan Długosz University in Częstochowa. Mathematics
• Rocznik: 2003
• Tom: Vol. 9
• Strony: 25--29
• Opis fizyczny: Bibliogr. 4 poz., rys.

Twórcy

autor

Cytowski J.

• Institute of Mathematics and Computer Science, Pedagogical University of Częstochowa, Al. Armii Krajowej 13/15, 42-200 Częstochowa, Poland

Bibliografia

• [1] R. Kepski, J. Cytowski, T. Buchner, et al., Application of Adaptive Filtering in High Resolution ECG. Biocyb. and Bimed. Eng. 20 (1), 27, 2000.
• [2] P. Laguna, R. Jane, O. Meste, et al., Adaptive Filter for Event-Related Bioelectric Signals Using an Impulsive Correlated Reference Input: Comparison with Signal Averaging Techniques, IEEE Trans. Biomed. Eng. 39, 1032, 1992.
• [3] N. Thakor, Zhu. Yi-Sheng Zhu., Application of adaptive filtering to ECG analysis: Noise cancellation and arrythmia detection, IEEE Trans. Biomed. Eng. 38, 785, 1991.
• [4] B. Widrow, J. Glower, J. McCoot, et al., Adaptive noise canceling: principles and applications., Proc. IEEE, 34, 6, 1987.