Heart Murmur Detection using Artificial Neural Network

Ali, Wahiba Hamdan; Supervisor - Eltahir Mohamed Hussein

dc.contributor.author	Ali, Wahiba Hamdan
dc.contributor.author	Supervisor - Eltahir Mohamed Hussein
dc.date.accessioned	2015-01-05T12:21:14Z
dc.date.available	2015-01-05T12:21:14Z
dc.date.issued	2014-05-11
dc.identifier.citation	Ali,Wahiba Hamdan,Heart Murmur Detection using Artificial Neural Network/Wahiba Hamdan Ali;Eltahir Mohamed Hussein.-khartoum:Sudan University of Science and Technology,College of Engineering,2014.-62p:ill;28cm.-M.Sc.	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/9529
dc.description	Thesis	en_US
dc.description.abstract	Accurate detection and classification of pathological heart murmurs by auscultation has been a challenge for physicians for a long time. In this research, we have used a AI techniques rely on converting the heart sounds to electrical signals and processing those signals by matlab tool box for murmur detection and classification. We have designed a heart murmur detection system based upon this approach and have tested this system using simulated heart sounds of various murmur types. Our test results show that the used of multilayer perceptron ANNs improve heart murmur detection accuracy up to (97%).	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	Sounds of the Heart	en_US
dc.subject	Artificial neural networks	en_US
dc.subject	pathological heart	en_US
dc.subject	converting the heart sounds	en_US
dc.title	Heart Murmur Detection using Artificial Neural Network	en_US
dc.title.alternative	كشف اصوات القلب بأستخدام الشبكات العصبیة الاصطناعیة	en_US
dc.type	Thesis	en_US