DocumentCode :
1082584
Title :
Time-frequency representation of the electrogastrogram-application of the exponential distribution
Author :
Zhi-Yue Lin ; Chen, Zhe
Author_Institution :
Health Sci. Center, Virginia Univ., Charlottesville, VA, USA
Volume :
41
Issue :
3
fYear :
1994
fDate :
3/1/1994 12:00:00 AM
Firstpage :
267
Lastpage :
275
Abstract :
The authors examined the applicability of the exponential distribution for the time-frequency representation of the electrogastrogram (EGG). The EGG is a noninvasive measurement of the electrical activity of the stomach by placing electrodes on the abdominal skin. Quantitative analysis of the EGG has relied on spectral methods. The normal frequency of the EGG in humans is 3 cycles/min. Electrical dysrhythmia observed in the EGG is associated with motor disorders of the stomach. The exponential distribution was applied here for the estimation of EGG frequency and for the detection of dysrhythmia in the EGG. A series of computer simulations was conducted, demonstrating the reliability of the exponential distribution in the analysis of nonstationary electrical signals of the stomach. Applications of the exponential distribution in the spectral analysis of typical EGGs are presented. The results show that there is a great potential for the use of the exponential distribution in EGG analysis.
Keywords :
bioelectric potentials; medical signal processing; spectral analysis; abdominal skin electrodes; computer simulations; electrical dysrhythmia; electrogastrogram; exponential distribution; medical technique; nonstationary electrical signals analysis; stomach electrical activity; stomach motor disorders; time-frequency representation; Abdomen; Computer simulation; Electrodes; Exponential distribution; Frequency estimation; Humans; Noninvasive treatment; Skin; Stomach; Time frequency analysis; Computer Simulation; Eating; Electrophysiology; Gastrointestinal Motility; Humans; Models, Biological; Signal Processing, Computer-Assisted; Stomach; Stomach Diseases;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.284945
Filename :
284945
Link To Document :
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