An application of robust filters in ECG signal processing

• Autorzy: Pander T.
• Języki publikacji: EN

Abstrakty

EN

Robust filtering is a very promising area in application of biomedical signal processing. Signals are usually recorded with noise, which has various characteristics of baseline wander to very impulsive nature. The robust technique has been recently proposed as the tool to eliminate outliers in data samples. The main purpose of this paper is to present mean-median filters in application of ECG signal processing. The presented filter is evaluated in the presence of real muscle noise and simulated impulsive noise as a Gaussian-Laplace mixture. In order to suppress a noise with the best possible means, the special expression is proposed. The measure of distortions, which are introduced to a signal after operation of filtering, is estimated using the normalized mean square error. This factor is used to compare a quality of considered filters. Experimental results show improved performance according to the reference filters.

Słowa kluczowe

EN

robust filtering; ECG; EMG; mean-median filtering

PL

filtrowanie robust; EKG; EMG; filtrowanie mean-median

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2006
• Tom: Vol. 10
• Strony: 113--123
• Opis fizyczny: Bibliogr. 13 poz., fig., tab.

Twórcy

autor

Pander T.

• Silesian University of Technology, Institute of Electronics, Akademicka St. 16, 44-100 Gliwice, Poland

Bibliografia

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