A suppression of an impulsive noise in ECG signal processing

Author

Pander, T.P.

Author_Institution

Inst. of Electron., Silesian Univ. of Technol., Gliwice, Poland

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

596

Lastpage

599

Abstract

The biomedical signals are commonly recorded with a noise. Many different kinds of noise exist in biomedical environment. One of the noises is a waveform of an electrical activity of muscles. This "natural" distortion is usually modeled with a white Gaussian noise. But such assumption is not always true, because real-life muscle noise has sometimes impulsive character. First objective of this paper is an application of the α-stable distribution as a model of the real-life muscle noise in the ECG signal. Second objective of this paper is an application of a family of M-filters to suppression an impulsive noise in biomedical signals (ECG signals). The reference filter is the median filter.

Keywords

electrocardiography; median filters; medical signal processing; muscle; physiological models; signal denoising; /spl alpha/-stable distribution; ECG signal processing; M-filters; biomedical signals; electrical activity; impulsive noise suppression; median filter; real-life muscle noise; white Gaussian noise; Biomedical signal processing; Electrocardiography; Electromyography; Filters; Gaussian noise; Interference; Muscles; Radio access networks; Signal processing; Working environment noise; α-stable distribution; M-filters; impulsive noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403228

Filename

1403228