A method for removing low varying frequency trend from ECG signal

Author

Canan, Suleyman ; Ozbay, Yuksel ; Karlik, Bekir

Author_Institution

Dept. of Electron., Selcuk Univ., Turkey

fYear

1998

fDate

20-22 May 1998

Firstpage

144

Lastpage

146

Abstract

The aim of this work is based on recovering the ECG signal from low frequency varying noise. The method used for this purpose is simple, the well known moving average filter. For this work the moving average filter is used to operate as a highpass filter. The filtering system functions basically to remove the trend added to the ECG signal. The authors have seen that the moving average filter recovers perfectly the low varying trend. Then by subtracting the recorded data from the trend, the noise-free ECG signal is obtained. Moreover, the effectiveness of the proposed method is shown in the frequency domain

Keywords

electrocardiography; filtering theory; frequency-domain analysis; high-pass filters; medical signal processing; ECG processing; electrodiagnostics; low varying frequency trend removal method; moving average filter; noise-free ECG signal; recorded data subtraction; Cutoff frequency; Distortion; Electrocardiography; Filtering; Filters; Frequency domain analysis; Frequency response; Interference; Low-frequency noise; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Days, 1998. Proceedings of the 1998 2nd International Conference

Conference_Location

Istanbul

Print_ISBN

0-7803-4242-9

Type

conf

DOI

10.1109/IBED.1998.710609

Filename

710609