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1

Redukcja zakłóceń mięśniowych w sygnale EKG za pomocą progowania w dziedzinie transformaty falkowej

Romaniuk P.

Elektronika : prace naukowe

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2003

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nr 8

23-34

PL

Artykuł dotyczy badań metody redukcji zakłóceń mięśniowych w sygnale elektrokardiograficznym opartej na transformacji falkowej. Metoda opiera się na wykorzystaniu nieliniowej funkcjiprogującej w dziedzinie transformaty. Badania zostały przeprowadzone na zbiorze wybranych, rzeczywistych sygnałów reprezentującym podstawowe schorzenia serca. Wyniki potwierdzaj ąprzydatność metody do poprawy jakości elektrokardiogramów, w szczególności w zakresie składników sygnału o małej amplitudzie.

EN

The paper deals with the reduction of muscle noise in the electro-cardiographic signals. Reduction is obtained by a non-linear thresholding function applied in the wavelet domain. The method was tested on selected signals from the CSE database that contains records of typical heart pathologies. On the basis of AR model, artificial muscle noise was generated and added to the template high-quality ECGs. Then, so distorted signals were filtered by the tested algorithm and the results were compared to original signals. The method can be useful for ECG signal improvement, because it provides good muscle noise reduction, especially in the smooth components of ECGs, featuring low amplitude that are more sensitive to interferences than other signal elements.

2

Clinical evaluation of ECG signal wavelet denoising method

Romaniuk P., Chiżyński K.

Journal of Medical Informatics & Technologies

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2001

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Vol. 2, Part. 2

MT49--MT55

EN

This paper reports on clinical evaluation of a wavelet denoising algorithm applied to ECG signal. The denoising method first the signal into the wavelet domain, then processes non-linearly the coefficients, and reconstructs the signal back to the tie domain. The described evaluation procedure of the denoising method was designed to test the clinical methodology that relies on cardiologist diagnoses. The preliminary results of the test, performed on a small ECG data set, are presented and discussed.

3

Non-regular distortions in ECG signal introduced by wavelet denoising

Romaniuk P.

Journal of Medical Informatics & Technologies

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2000

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Vol. 1

BI 15--21

EN

This paper addresses sharp, non-regular distortions appearing in ECG signal after applying wavelet denoising. Introduced distortions cause loss of the signal smoothness, that in the case of ECG signal are unacceptable. Source of such distortions was investigated and explained. Results of signal denoising process that is based on two wavelets, chosen from one family, are described and compared.