Time-frequency analysis of the electrogastrogram: evaluation of STFT, adaptive spectral analysis and exponential distribution

Author

Chen, Jiande Z. ; Lin, Zhiyue

Author_Institution

Center of Health Sci., Virginia Univ., Charlottesville, VA, USA

fYear

1994

fDate

1994

Firstpage

1244

Abstract

The aim of this paper is to compare the performance of the short-time Fourier transform (STFT), adaptive spectral analysis and exponential distribution (ED) methods in estimating the changes of both amplitude and frequency of the gastric slow wave with time, and detecting gastric dysrhythmic events from the electrogastrogram (EGG). Results from both computer simulations and real applications show that the adaptive spectral analysis method is more accurate in the detection of gastric dysrhythmia with brief duration, whereas STFT method is more appropriate for the estimation of signal amplitude. The performance of the ED method appears to be in between the STFT method and adaptive spectral analysis method

Keywords

time-frequency analysis; STFT; adaptive spectral analysis; computer simulations; electrogastrogram; exponential distribution; gastric dysrhythmic events; gastric slow wave amplitude; gastric slow wave frequency; real applications; short-time Fourier transform; signal amplitude; time-frequency analysis; Adaptive signal detection; Amplitude estimation; Application software; Computer simulation; Event detection; Exponential distribution; Fourier transforms; Frequency estimation; Spectral analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.415414

Filename

415414