Literature DB >> 7998688

Comparison of adaptive filtering in time-, transform- and frequency-domain: an electrogastrographic study.

J D Chen1, Z Lin.   

Abstract

Adaptive cancellation of motion artifacts in the electrogastrogram (EGG) is presented in this paper. The EGG is a surface measurement of gastric electrical activity. Like other noninvasive electrophysiological measurements, the EGG contains motion artifacts. A number of papers have been published on the adaptive cancellation of motion artifacts or interferences in biomedical signals. Adaptive filtering was performed in time domain in almost all of the previous publications. In this paper, however, three different sorts of adaptive filters were investigated and their efficiencies in cancellation of motion artifacts were compared with each other. These include time-domain, transform-domain, and frequency-domain adaptive filters. A series of simulations were conducted to investigate the performance of these adaptive filters in cancellation of respiratory and motion artifacts. The results show that the frequency-domain adaptive filter has superior performance over the time- and transform-domain adaptive filters in the cancellation of stationary respiratory artifacts in the EGG. Although results focus on the EGG, this paper provides useful information for adaptive filtering of other biomedical signals.

Mesh:

Year:  1994        PMID: 7998688     DOI: 10.1007/BF02368249

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  12 in total

1.  Adaptive cancellation technique in processing myoelectric activity of respiratory muscles.

Authors:  P Akkiraju; D C Reddy
Journal:  IEEE Trans Biomed Eng       Date:  1992-06       Impact factor: 4.538

Review 2.  Electrogastrography: measurement, analysis and prospective applications.

Authors:  J Chen; R W McCallum
Journal:  Med Biol Eng Comput       Date:  1991-07       Impact factor: 2.602

3.  Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection.

Authors:  N V Thakor; Y S Zhu
Journal:  IEEE Trans Biomed Eng       Date:  1991-08       Impact factor: 4.538

4.  Adaptive spectral analysis of cutaneous electrogastric signals using autoregressive moving average modelling.

Authors:  J Chen; J Vandewalle; W Sansen; G Vantrappen; J Janssens
Journal:  Med Biol Eng Comput       Date:  1990-11       Impact factor: 2.602

5.  Multichannel adaptive enhancement of the electrogastrogram.

Authors:  J D Chen; J Vandewalle; W Sansen; G Vantrappen; J Janssens
Journal:  IEEE Trans Biomed Eng       Date:  1990-03       Impact factor: 4.538

6.  Adaptive method for cancellation of respiratory artefact in electrogastric measurements.

Authors:  J Chen; J Vandewalle; W Sansen; G Vantrappen; J Janssens
Journal:  Med Biol Eng Comput       Date:  1989-01       Impact factor: 2.602

7.  Adaptive filtering of evoked potentials.

Authors:  N V Thakor
Journal:  IEEE Trans Biomed Eng       Date:  1987-01       Impact factor: 4.538

8.  Spectral analysis of episodic rhythmic variations in the cutaneous electrogastrogram.

Authors:  J D Chen; W R Stewart; R W McCallum
Journal:  IEEE Trans Biomed Eng       Date:  1993-02       Impact factor: 4.538

9.  Adaptive filtering of canine electrogastrographic signals. Part 1: system design.

Authors:  M A Kentie; E J van der Schee; J L Grashuis; A J Smout
Journal:  Med Biol Eng Comput       Date:  1981-11       Impact factor: 2.602

10.  What is measured in electrogastrography?

Authors:  A J Smout; E J van der Schee; J L Grashuis
Journal:  Dig Dis Sci       Date:  1980-03       Impact factor: 3.199

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  3 in total

1.  Artifact reduction in electrogastrogram based on empirical mode decomposition method.

Authors:  H Liang; Z Lin; R W McCallum
Journal:  Med Biol Eng Comput       Date:  2000-01       Impact factor: 2.602

2.  Extraction of gastric slow waves from electrogastrograms: combining independent component analysis and adaptive signal enhancement.

Authors:  H Liang
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

3.  Reconstruction of normal and abnormal gastric electrical sources using a potential based inverse method.

Authors:  J H K Kim; P Du; L K Cheng
Journal:  Physiol Meas       Date:  2013-09       Impact factor: 2.833

  3 in total

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