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Screening for abnormal heart sounds and murmurs by implementing neural networks

Thesis (MScEng (Mechanical and Mechatronic Engineering))--University of Stellenbosch, 2007.

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Bibliographic Details
Main Author: Visagie, Claude
Other Authors: Scheffer, C.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2008
Subjects:
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access_status_str Open Access
author Visagie, Claude
author2 Scheffer, C.
author_browse Scheffer, C.
Visagie, Claude
author_facet Scheffer, C.
Visagie, Claude
author_sort Visagie, Claude
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MScEng (Mechanical and Mechatronic Engineering))--University of Stellenbosch, 2007.
format Thesis
id oai:scholar.sun.ac.za:10019.1/3119
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:41:32.562Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2008
publishDateRange 2008
publishDateSort 2008
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/3119 Screening for abnormal heart sounds and murmurs by implementing neural networks Visagie, Claude Scheffer, C. University of Stellenbosch. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering. Dissertations -- Mechanical engineering Theses -- Mechanical engineering Neural networks (Computer science) Heart -- Sounds Auscultation Stethoscopes Cardiovascular system -- Diseases -- Diagnosis Mechanical and Mechatronic Engineering Thesis (MScEng (Mechanical and Mechatronic Engineering))--University of Stellenbosch, 2007. This 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%. 2008-04-08T11:47:59Z 2010-06-01T09:06:45Z 2008-04-08T11:47:59Z 2010-06-01T09:06:45Z 2007-03 Thesis http://hdl.handle.net/10019.1/3119 en University of Stellenbosch 4283034 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Dissertations -- Mechanical engineering
Theses -- Mechanical engineering
Neural networks (Computer science)
Heart -- Sounds
Auscultation
Stethoscopes
Cardiovascular system -- Diseases -- Diagnosis
Mechanical and Mechatronic Engineering
Visagie, Claude
Screening for abnormal heart sounds and murmurs by implementing neural networks
title Screening for abnormal heart sounds and murmurs by implementing neural networks
title_full Screening for abnormal heart sounds and murmurs by implementing neural networks
title_fullStr Screening for abnormal heart sounds and murmurs by implementing neural networks
title_full_unstemmed Screening for abnormal heart sounds and murmurs by implementing neural networks
title_short Screening for abnormal heart sounds and murmurs by implementing neural networks
title_sort screening for abnormal heart sounds and murmurs by implementing neural networks
topic Dissertations -- Mechanical engineering
Theses -- Mechanical engineering
Neural networks (Computer science)
Heart -- Sounds
Auscultation
Stethoscopes
Cardiovascular system -- Diseases -- Diagnosis
Mechanical and Mechatronic Engineering
url http://hdl.handle.net/10019.1/3119
work_keys_str_mv AT visagieclaude screeningforabnormalheartsoundsandmurmursbyimplementingneuralnetworks