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

Jiande Z. Chen, Zhiyue Lin

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)1244-1245
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume16
Issue numberpt 2
StatePublished - Dec 1 1994
Externally publishedYes
EventProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA
Duration: Nov 3 1994Nov 6 1994

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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