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dc.contributor.authorMohr, Sheila Jeanen
dc.date.accessioned2014-03-14T21:28:17Zen
dc.date.available2014-03-14T21:28:17Zen
dc.date.issued1991en
dc.identifier.otheretd-02022010-020115en
dc.identifier.urihttp://hdl.handle.net/10919/40887en
dc.description.abstractA system is developed which makes diagnostic determinations from EKG signals utilizing Back Propagation Neural (BPN) Networks to window discretized temporal EKG signals and classify segmented signal waveform data. First, characteristics of EKG signal data are explored as they relate to the heart functions. Then, assuming a Gaussian behavior of EKG signals, a system is developed based on pattern matching of abnormal heart function characteristics. The windowing function of EKG signals is performed by using a neural network trained on apriori data. EKG signal feature extraction and waveform segmentation is performed and the results encoded for inputs to independent neural networks. These networks memorized signal data conditions to provide diagnostic scores that classify to within 4% of their initial case training weights. It is concluded that employing neural networks to perform temporal EKG signal classification is a viable, efficient approach.en
dc.format.extentvii, 119 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.isformatofOCLC# 24119055en
dc.relation.haspartLD5655.V851_1991.M657.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V851 1991.M657en
dc.subject.lcshNeural networks (Computer science)en
dc.titleTemporal EKG signal classification using neural networksen
dc.typeMaster's projecten
dc.contributor.departmentElectrical Engineeringen
dc.description.degreeMaster of Engineeringen
thesis.degree.nameMaster of Engineeringen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineElectrical Engineeringen
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02022010-020115/en
dc.date.sdate2010-02-02en
dc.date.rdate2010-02-02en
dc.date.adate2010-02-02en


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