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Automated pediatric cardiac auscultation
Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005.
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Stellenbosch : University of Stellenbosch
2008
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| _version_ | 1867613737003778048 |
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| access_status_str | Open Access |
| author | De Vos, Jacques Pinard |
| author2 | Blanckenberg, M. M. |
| author_browse | Blanckenberg, M. M. De Vos, Jacques Pinard |
| author_facet | Blanckenberg, M. M. De Vos, Jacques Pinard |
| author_sort | De Vos, Jacques Pinard |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/2414 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:53.839Z |
| 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:10019.1/2414 Automated pediatric cardiac auscultation De Vos, Jacques Pinard Blanckenberg, M. M. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Biomedical engineering Heart murmurs Heart sounds Children -- Diseases -- Diagnosis Dissertations -- Electronic engineering Theses -- Electronic engineering Electrical and Electronic Engineering Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. Most of the relevant and severe congenital cardiac malfunctions can be recognized in the neonatal period of a child’s life. The delayed recognition of a congenital heart defect may have a serious impact on the long-term outcome of the affected child. Experienced cardiologists can usually evaluate heart murmurs with a high sensitivity and specificity, although non-specialists, with less clinical experience, may have more difficulty. Although primary care physicians frequently encounter children with heart murmurs most of these murmurs are innocent. The aim of this project is to design an automated algorithm that can assist the primary care physician in screening and diagnosing pediatric patients with possible cardiac malfunctions. Although attempts have been made to automate screening by auscultation, no device is currently available to fulfill this function. Multiple indicators of pathology are nonetheless available from heart sounds and were elicited using several signal processing techniques. The three feature extraction algorithms (FEA’s) developed respectively made use of a Direct Ratio technique, a Wavelet analysis technique and a Knowledge based neural network technique. Several implementations of each technique are evaluated to identify the best performer. To test the performance of the various algorithms, the clinical auscultation sounds and ECG-data of 163 patients, aged between 2 months and 16 years, were digitized. Results presented show that the De-noised Jack-Knife neural network can classify 163 recordings with a sensitivity and specificity of 92 % and 92.9 % respectively. This study concludes that, in certain conditions, the developed automated auscultation algorithms show significant potential in their use as an alternative evaluation technique for the classification of heart sounds in normal (innocent) and pathological classes. 2008-07-08T08:23:27Z 2010-06-01T08:48:13Z 2008-07-08T08:23:27Z 2010-06-01T08:48:13Z 2005-03 Thesis http://hdl.handle.net/10019.1/2414 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Biomedical engineering Heart murmurs Heart sounds Children -- Diseases -- Diagnosis Dissertations -- Electronic engineering Theses -- Electronic engineering Electrical and Electronic Engineering De Vos, Jacques Pinard Automated pediatric cardiac auscultation |
| title | Automated pediatric cardiac auscultation |
| title_full | Automated pediatric cardiac auscultation |
| title_fullStr | Automated pediatric cardiac auscultation |
| title_full_unstemmed | Automated pediatric cardiac auscultation |
| title_short | Automated pediatric cardiac auscultation |
| title_sort | automated pediatric cardiac auscultation |
| topic | Biomedical engineering Heart murmurs Heart sounds Children -- Diseases -- Diagnosis Dissertations -- Electronic engineering Theses -- Electronic engineering Electrical and Electronic Engineering |
| url | http://hdl.handle.net/10019.1/2414 |
| work_keys_str_mv | AT devosjacquespinard automatedpediatriccardiacauscultation |