Adaptive spectral analysis of cutaneous electrogastric signals using autoregressive moving average modelling-Reference-Cited by-同舟云学术

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

Published:1990-11 Issue:6 Volume:28 Page:531-536
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med. Biol. Eng. Comput.

Author:

Chen J.,Vandewalle J.,Sansen W.,Vantrappen G.,Janssens J.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/BF02442603.pdf

Reference27 articles.

1. Alvarez, W. C. (1922) The electrogastrogram and what it shows.JAMA,78, 1116–1118.

2. Brown, B. H., Smallwood, R. H., Duthie, H. L. andStoddard, C. J. (1975) Intestinal smooth muscle electrical potentials recorded from surface electrodes.Med. and Biol. Eng.,13, 97–103.

3. Chen, J., Vandewalle, J. andDe Moor, B. (1987) ARMA spectral estimation by an adaptive IIR filter. Proc. Internat. Conf. on Linear Algebra and its Applications, Spain, Sept. 1987.

4. Chen, J., Vandewalle, J., Sansen, W., Vantrappen, G. andJanssens, J. (1988) On-line spectral analysis of electrogastrographical signals. Proc. 10th Ann. Conf. of IEEE/Eng. in Med. & Biol. Soc., New Orleans USA, Nov. 1987, 1186–1187.

5. Chen, J., Vandewalle, J., Sansen, W., Vantrappen, G. andJanssens, J. (1989a) Adaptive method for cancellation of respiratory artefact in electrogastric measurementsMed. & Biol. Eng. & Comput.,27, 57–63.

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of Two Class Motor Imagery Tasks Using Hybrid GA-PSO BasedK-Means Clustering;Computational Intelligence and Neuroscience;2015

2. Clinical Signals;Wiley StatsRef: Statistics Reference Online;2014-09-29

3. Adaptive cancellation of ECG artifacts in the diaphragm electromyographic signals obtained through intraoesophageal electrodes during swallowing and inspiration;Neurogastroenterology & Motility;2008-06-28

4. The Adaptive ARMA Analysis of EMG Signals;Journal of Medical Systems;2007-10-02

5. Electrogastrogram;Encyclopedia of Medical Devices and Instrumentation;2006-04-14