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Title: Adaptive spectral analysis of cutaneous electrogastric signals using autoregressive moving average modelling
Authors: Chen, J ×
Vandewalle, Joos
Sansen, Willy
Vantrappen, Gaston
Janssens, J #
Issue Date: Nov-1990
Publisher: Peter peregrinus ltd
Series Title: Medical & biological engineering & computing vol:28 issue:6 pages:531-536
Abstract: The recording of the human gastric myoelectrical activity by means of cutaneous electrodes is called electrogastrography (EGG). It provides a noninvasive method of studying electrogastric behaviour. The normal frequency of the gastric signal is about 0.05 Hz. However, sudden changes of its frequency have been observed and are generally considered to be related to gastric motility disorders. Thus, spectral analysis, especially online spectral analysis, can serve as a valuable tool for practical purposes. The paper presents a new method of the adaptive spectral analysis of cutaneous electrogastric signals using autoregressive moving average (ARMA) modelling. It is based on an adaptive ARMA filter and provides both time and frequency information of the signal. Its performance is investigated in comparison with the conventional FFT-based periodogram method. Its properties in tracking time-varying instantaneous frequencies are shown. Its applications to the running spectral analysis of cutaneous electrogastric signals are presented. The proposed adaptive ARMA spectral analysis method is easy to implement and is efficient in computations. The results presented in the paper show that this new method provides a better performance and is very useful for the online monitoring of cutaneous electrogastric signals.
ISSN: 0140-0118
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
ESAT - MICAS, Microelectronics and Sensors
Electrical Engineering - miscellaneous
Faculty of Medicine - miscellaneous
Translational Research in GastroIntestinal Disorders
× corresponding author
# (joint) last author

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