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

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.

[1]  J. Vandewalle,et al.  Adaptive method for cancellation of respiratory artefact in electrogastric measurements , 2006, Medical and Biological Engineering and Computing.

[2]  J. L. Grashuis,et al.  What is measured in electrogastrography? , 1980, Digestive Diseases and Sciences.

[3]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[4]  Jae Chon Lee,et al.  Performance of transform-domain LMS adaptive digital filters , 1986, IEEE Trans. Acoust. Speech Signal Process..

[5]  N V Thakor,et al.  Adaptive Filterng of Evoked Potentials , 1987, IEEE Transactions on Biomedical Engineering.

[6]  J. Chen,et al.  Transform domain adaptive filtering using recursive running DCT and its application in surface recording of small intestine , 1993, Proceedings of Southeastcon '93.

[7]  Y. Hoshiko,et al.  A fast convergence frequency domain adaptive filter , 1983 .

[8]  M. A. Kentie,et al.  Adaptive filtering of canine electrogastrographic signals. Part 1: system design , 1981, Medical and Biological Engineering and Computing.

[9]  Earl R. Ferraraandbernardwidrow.  Fetal Electrocardiogram Enhancement by Time-Sequenced Adaptive Filtering , 1982 .

[10]  J. Vandewalle,et al.  Multichannel adaptive enhancement of the electrogastrogram , 1990, IEEE Transactions on Biomedical Engineering.

[11]  J. Chen,et al.  Electrogastrography: measuremnt, analysis and prospective applications , 1991, Medical and Biological Engineering and Computing.

[12]  P. Akkiraju,et al.  Adaptive cancellation technique in processing myoelectric activity of respiratory muscles , 1992, IEEE Transactions on Biomedical Engineering.

[13]  A. Peterson,et al.  Transform domain LMS algorithm , 1983 .

[14]  J. D. Z. Chen,et al.  Recursive running DCT algorithm and its application in adaptive filtering of surface electrical recording of small intestine , 1994, Medical and Biological Engineering and Computing.

[15]  J. Vandewalle,et al.  Adaptive spectral analysis of cutaneous electrogastric signals using autoregressive moving average modelling , 1990, Medical and Biological Engineering and Computing.

[16]  J.D.Z. Chen,et al.  Spectral analysis of episodic rhythmic variations in the cutaneous electrogastrogram , 1993, IEEE Transactions on Biomedical Engineering.

[17]  M. A. Kentie,et al.  Adaptive filtering of canine electrogastrographic signals. Part 2: filter performance , 2006, Medical and Biological Engineering and Computing.

[18]  N.V. Thakor,et al.  Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection , 1991, IEEE Transactions on Biomedical Engineering.