Electrogastrogram Based Medical Applications an Overview and Processing Frame Work

Al-Tae, AA; Al-Jumaily, A

Electrogastrogram Based Medical Applications an Overview and Processing Frame Work

Al-Tae, AA Al-Jumaily, A

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Publisher:: Springer Nature
Publication Type:: Conference Proceeding
Citation:: Hybrid Intelligent Systems, 2020, 923, pp. 511-520
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Al-Tae, AA
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463
dc.date	2018-12-13
dc.date.accessioned	2021-05-06T06:26:19Z
dc.date.available	2021-05-06T06:26:19Z
dc.date.issued	2020-01-01
dc.identifier.citation	Hybrid Intelligent Systems, 2020, 923, pp. 511-520
dc.identifier.isbn	9783030143466
dc.identifier.issn	2194-5357
dc.identifier.issn	2194-5365
dc.identifier.uri	http://hdl.handle.net/10453/148751
dc.description.abstract	Surface Electrogastrogram (sEGG) examination is a noninvasive method based on recording the electrical signals of stomach muscles that can be used for investigation of a stomach wave propagation. sEGG records by placing electrodes on the abdominal skin. The recording of gastric dysrhythmias is an important tool for the clinician when patients have symptoms that suggest gastric dysfunction such as unexplained nausea, bloating, postprandial fullness, and early satiety. On the other hand, these upper gastrointestinal (GI) symptoms are nonspecific, and diseases or disorders of other organ such as esophagus, gallbladder, small bowel, colon, and non-GI diseases also can be considered. The progress of the EGG based application is very slow as EGG still suffers from several limitations. The aim of this study is to review the Electrogastrogram detection, analyzing methods and its application to enter the clinical world with recommendations for future study.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Hybrid Intelligent Systems
dc.relation.ispartof	International Conference on Hybrid Intelligent Systems
dc.relation.ispartofseries	Advances in Intelligent Systems and Computing
dc.relation.isbasedon	10.1007/978-3-030-14347-3_50
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Electrogastrogram Based Medical Applications an Overview and Processing Frame Work
dc.type	Conference Proceeding
utslib.citation.volume	923
utslib.location.activity	Portugal
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-05-06T06:26:17Z
pubs.finish-date	2018-12-15
pubs.place-of-publication	Switzerland
pubs.publication-status	Published
pubs.start-date	2018-12-13
pubs.volume	923
dc.location	Switzerland

Abstract:

Surface Electrogastrogram (sEGG) examination is a noninvasive method based on recording the electrical signals of stomach muscles that can be used for investigation of a stomach wave propagation. sEGG records by placing electrodes on the abdominal skin. The recording of gastric dysrhythmias is an important tool for the clinician when patients have symptoms that suggest gastric dysfunction such as unexplained nausea, bloating, postprandial fullness, and early satiety. On the other hand, these upper gastrointestinal (GI) symptoms are nonspecific, and diseases or disorders of other organ such as esophagus, gallbladder, small bowel, colon, and non-GI diseases also can be considered. The progress of the EGG based application is very slow as EGG still suffers from several limitations. The aim of this study is to review the Electrogastrogram detection, analyzing methods and its application to enter the clinical world with recommendations for future study.

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http://hdl.handle.net/10453/148751