DocumentCode :
1149862
Title :
A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG
Author :
Hamilton, Patrick S.
Author_Institution :
Dept. of Electr. Eng., Lafayette Coll., Easton, PA, USA
Volume :
43
Issue :
1
fYear :
1996
Firstpage :
105
Lastpage :
109
Abstract :
We have investigated the relative performance of an adaptive and nonadaptive 60-Hz notch filter applied to an ECG signal. We evaluated the performance of the two implementations with respect to adaptation rate (or transient response time), signal distortion, and implementation complexity. We also investigated the relative effect of adaptive and nonadaptive 60-Hz filtering on ECG data compression. With a 360 Hz sample rate and an adaptation time of approximately 0.3 s for a 1 mV 60-Hz signal, the adaptive implementation is less complex and introduces less noise, particularly in the ST-segment, into a typical ECG signal. When applied to ECG signals, prior to data compression by average beat subtraction and residual differencing, the residual signal resulting from the adaptively filtered signal had an average entropy 0.31 bits per sample (bps) lower than the unfiltered signal. The nonadaptive 60-Hz filter produced an average entropy decrease of 0.08 bps relative to the unfiltered ECG.
Keywords :
adaptive filters; adaptive signal processing; data compression; electrocardiography; entropy; interference suppression; medical signal processing; notch filters; 0.3 s; 1 mV; 360 Hz; 60 Hz; ECG; ECG data compression; ST-segment; adaptation rate; adaptation time; adaptive filters; adaptive implementation; average beat subtraction; average entropy; implementation complexity; noise; nonadaptive filters; notch filter; power line interference; residual differencing; residual signal; sample rate; signal distortion; transient response time; Adaptive filters; Bandwidth; Data compression; Distortion; Electrocardiography; Interference; Noise generators; Noise reduction; Time factors; Transient response; Algorithms; Electric Power Supplies; Electrocardiography; Electromagnetic Fields; Environmental Exposure; Image Enhancement; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.477707
Filename :
477707
Link To Document :
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