NDLI: An improvement of normogastric rhythm extraction from electrogastrographic (EGG) signal using independent component analysis

Content Provider	IEEE Xplore Digital Library
Author	Mika, B.T. Tkacz, E.J. Kostka, P.S. Budzianowski, Z.
Copyright Year	2009
Description	Author affiliation: Silesian University of Technology, Institute of Electronics, Division of Microelectronics and Biotechnology, Gliwice, Poland and with Academy of Business, IT Departmen Manager in D¿browa Górnicza (Tkacz, E.J.) \|\| Ph.D. student at Silesian University of Technology, Institute of Electronics (Budzianowski, Z.) \|\| Silesian University of Technology, Institute of Electronics, Division of Microelectronics and Biotechnology, Gliwice, Poland (Mika, B.T.; Kostka, P.S.)
Abstract	Electrogastrographic Signal (EGG) is considered to be one of the less interesting from both registration and interpretation point of view. There are several reasons of that two facts. EGG presents gastric myoelectrical activity measured by several electrodes attached on the abdomen. Unfortunately the registration procedure does not deliver a pure signal as EGG is usually associated with some interferences caused by the other organs localized near stomach. On the other hand however there are no databases available, which could allow both comparison and proper interpretation. One of the parameter, among others, which is analyzed owing to proper registration is so called normogastric rhythm, which should cover around 70% of rhythmic behavior of the signal. Proper extraction of the normogastric rhythm is a subject of this paper. Special signal preprocessing steps should be applied before the main tool i.e. Independent Component Analysis (ICA) is applied for normogastric rhythm extraction. Also, to make this analysis possible a special registration procedure has been applied concerning two phases of registration — one with feeding and the other one without with 5 minutes brake between them.
Starting Page	356
Ending Page	359
File Size	355534
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332774
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rhythm Independent component analysis Stomach Muscles Electrodes Microelectronics Biotechnology Abdomen Frequency Adaptive filters
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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