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Continuous Wavelet Analysis as an Aid in the Representation and Interpretation of Electrogastrographic Signals
Journal article   Peer reviewed

Continuous Wavelet Analysis as an Aid in the Representation and Interpretation of Electrogastrographic Signals

Wenwei Qiao, Hun Sun, William Chey and K Lee
Annals of biomedical engineering, v 26(6), pp 1072-1081
01 Nov 1998
DOI: https://doi.org/10.1114/1.27
PMID: 9846945
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Studies Wavelet transforms
This paper presents an application of the continuous wavelet transform (CWT) in the analysis of electrogastrographic (EGG) signals. Due to the nonstationary nature of EGG signals, the CWT method, which uses multiresolution scaled windows, gives a better time-frequency resolution than the short-time Fourier transform, which uses a fixed window. Spike activity due to gastric contraction was investigated through experiments on dogs. During spike activity we observed an increase in magnitude of the slow wave and the appearance of a low frequency component with half the frequency of the slow wave. Studies of the EGG signals from the small intestine are also presented to investigate the hypothesis that its slow wave might be confounded with spike activity in the stomach due to the similarity of their frequency ranges. © 1998 Biomedical Engineering Society. PAC98: 0230-f, 8759Wc[PUBLICATION ABSTRACT]

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11 Record Views
9 citations in Web of Science
12 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Engineering, Biomedical
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