dc.contributor.author |
Ahmed, Doaa Hayder |
|
dc.contributor.author |
Hassan, Ethar Yahya |
|
dc.contributor.author |
Hassan, Lubna Abdualgader |
|
dc.date.accessioned |
2014-12-25T12:21:12Z |
|
dc.date.available |
2014-12-25T12:21:12Z |
|
dc.date.issued |
2014-08-10 |
|
dc.identifier.citation |
Ahmed,Doaa Hayder.Heart Sound Analysis Based on DSP/Doaa Hayder Ahmed,Ethar Yahya Hassan,Lubna Abdualgader Hassan;Mohammed Yagoub Esmail.-Khartuom:Sudan University of Science and Technology, College of Engineering,2014.-46p.:ill;28cm.-Bachelors’Search |
en_US |
dc.identifier.uri |
http://repository.sustech.edu/handle/123456789/9268 |
|
dc.description |
Bachelors’Search |
en_US |
dc.description.abstract |
PCG (phonocardiogram) plays very important role in heart function analysis. It is a weak biological signal with the strong noise . The biomedical signal recordings are so complex and non-stationary that they are also affected by different kinds of noise making their interpretation quite difficult. In this research we propose algorithm to extract heart sound components based on wavelet transform and de-noise technique increase the precision of the detection process. A proposed algorithm include data were analyzed with aim to find a suitable feature subset for automatic classification of heart sound. The signals are evaluated in our experiments on 28 signals . The proposed algorithm reaches high accuracy by compaired with respect to the diagnosis established by the clinicians |
en_US |
dc.description.sponsorship |
Sudan University of Science and Technology,
College of Engineering |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Sudan University of Science and Technology |
en_US |
dc.subject |
Biomedical Engineering |
en_US |
dc.subject |
Heart Sound |
en_US |
dc.subject |
Analysis Based |
en_US |
dc.title |
Heart Sound Analysis Based on DSP |
en_US |
dc.type |
Thesis |
en_US |