Screening for abnormal heart sounds and murmurs by implementing neural networks

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dc.contributor.advisorScheffer, C.
dc.contributor.authorVisagie, Claudeen_ZA
dc.contributor.otherUniversity of Stellenbosch. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering.
dc.date.accessioned2008-04-08T11:47:59Zen_ZA
dc.date.accessioned2010-06-01T09:06:45Z
dc.date.available2008-04-08T11:47:59Zen_ZA
dc.date.available2010-06-01T09:06:45Z
dc.date.issued2007-03en_ZA
dc.descriptionThesis (MScEng (Mechanical and Mechatronic Engineering))--University of Stellenbosch, 2007.
dc.description.abstractThis thesis is concerned with the testing of an “auscultation jacket” as a means of recording heart sounds and electrocardiography (ECG) data from patients. A classification system based on Neural Networks, that is able to discriminate between normal and abnormal heart sounds and murmurs, has also been developed . The classification system uses the recorded data as training and testing data. This classification system is proposed to serve as an aid to physicians in diagnosing patients with cardiac abnormalities. Seventeen normal participants and 14 participants that suffer from valve-related heart disease have been recorded with the jacket. The “auscultation jacket” shows great promise as a wearable health monitoring aid for application in rural areas and in the telemedicine industry. The Neural Network classification system is able to differentiate between normal and abnormal heart sounds with a sensitivity of 85.7% and a specificity of 94.1%.en_ZA
dc.format.extent4283034 bytesen_ZA
dc.format.mimetypeapplication/pdfen_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/3119
dc.language.isoenen_ZA
dc.publisherStellenbosch : University of Stellenbosch
dc.rights.holderUniversity of Stellenbosch
dc.subjectDissertations -- Mechanical engineeringen
dc.subjectTheses -- Mechanical engineeringen
dc.subjectNeural networks (Computer science)en
dc.subjectHeart -- Soundsen
dc.subjectAuscultationen
dc.subjectStethoscopesen
dc.subjectCardiovascular system -- Diseases -- Diagnosisen
dc.subject.otherMechanical and Mechatronic Engineeringen_ZA
dc.titleScreening for abnormal heart sounds and murmurs by implementing neural networksen_ZA
dc.typeThesisen_ZA
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