Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/16353
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dc.coverage.spatialElectrical and Electronics Engineeringen_US
dc.date.accessioned2014-02-25T11:17:48Z-
dc.date.available2014-02-25T11:17:48Z-
dc.date.issued2014-02-25-
dc.identifier.urihttp://hdl.handle.net/10603/16353-
dc.description.abstractIn human physiology, digestive system is one of the most important systems, in which the stomach plays a major role with its accessory such as Esophagus, Duodenum, small intestine, large intestine, etc. Many people around the world are suffering from stomach dysrhythmias associated with gastric motility disorders such as dyspepsia (improper digestion), unexplained nausea (vomiting sensation), vomiting, abdominal pain, stomach s ulcer, gastroesophageal reflux diseases, etc. Clinical analysis, endoscopy, electrogastrogram, imaging are some of the methods to detect the abnormalities. Of the methods listed above, electrogastrogram has the advantage of being non-invasive and cost effective. In this thesis, investigation of digestive system disorders is performed by acquiring the Electrogastrogram and analyzing it using different techniques. Electrogastrogram is the recording of electrical signals that travel through the muscles of the stomach and control the muscle s contraction. The electrical signals from the stomach muscles are sensed by the electrode and the EGG is recorded. The recorded EGG signals are studied using computer analysis. In a normal stomach muscle, the regular electrical rhythm generates an increased current after a meal. In persons with stomach muscle or nerve irregularities, the post meal electrical rhythm is irregular. In this investigation, EGG of normal subject, bradygastria, dyspepsia, nausea, tachygastria, ulcer and vomiting is considered for analysis. If the Electrogastrogram is abnormal, it confirms that the problem probably is with the stomach muscles or the nerves that control the muscles. In this thesis, novel methods are developed and implemented to acquire the EGG signals so as to form a database for the investigation of digestive system disorders. Statistical methods are used widely in the analysis of biosignals like ECG, EGG, etc., for the identification of the disorders.en_US
dc.format.extentxxiv, 216p.en_US
dc.languageEnglishen_US
dc.relation127en_US
dc.rightsuniversityen_US
dc.titleAcquisition and analysis of electrogastrogram for classification of digestive system disordersen_US
dc.creator.researcherGopu Gen_US
dc.subject.keywordClinical analysisen_US
dc.subject.keywordECGen_US
dc.subject.keywordEGGen_US
dc.subject.keywordElectrical engineeringen_US
dc.subject.keywordElectrogastrogramen_US
dc.subject.keywordEndoscopyen_US
dc.description.noteAppendix p. 172-199, References p. 200-215en_US
dc.contributor.guideNeelaveni Ren_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Electrical and Electronics Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/10/2013en_US
dc.date.awarded30/10/2013en_US
dc.format.dimensions21cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File25.97 kBAdobe PDFView/Open
02_certificate.pdf6.26 kBAdobe PDFView/Open
03_abstract.pdf46.86 kBAdobe PDFView/Open
04_acknowledgements.pdf11.05 kBAdobe PDFView/Open
05_contents.pdf88.92 kBAdobe PDFView/Open
06_chapter1.pdf126.72 kBAdobe PDFView/Open
07_chapter2.pdf1.27 MBAdobe PDFView/Open
08_chapter3.pdf6.39 MBAdobe PDFView/Open
09_chapter4.pdf5.06 MBAdobe PDFView/Open
10_chapter5.pdf2.55 MBAdobe PDFView/Open
11_chapter6.pdf76.34 kBAdobe PDFView/Open
12_chapter7.pdf65.82 kBAdobe PDFView/Open
13_appendix.pdf1.8 MBAdobe PDFView/Open
14_references.pdf95.56 kBAdobe PDFView/Open
15_vitae.pdf7.91 kBAdobe PDFView/Open


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