relation: https://khub.utp.edu.my/scholars/241/
title: Knowledge based system with embedded intelligent heart sound analyser for diagnosing cardiovascular disorders
creator: Javed, F.
creator: Venkatachalam, P.A.
creator: Hani, A.F.M.
description: Cardiovascular disease (CVD) is the leading cause of death worldwide, and due to the lack of early detection techniques, the incidence of CVD is increasing day by day. In order to address this limitation, a knowledge based system with embedded intelligent heart sound analyser (KBHSA) has been developed to diagnose cardiovascular disorders at early stages. The system analyses digitized heart sounds that are recorded from an electronic stethoscope using advanced digital signal processing and artificial intelligence techniques. KBHSA takes into account data including the patient's personal and past medical history, clinical examination, auscultation findings, chest x-ray and echocardiogram, and provides a list of diseases that it has diagnosed. The system can assist the general physician in making more accurate and reliable diagnosis under emergency conditions where expert cardiologists and advanced equipment are not readily available. To test the validity of the system, abnormal heart sound samples and medical data from 40 patients were recorded and analysed. The diagnoses made by the system were counter checked by four senior cardiologists in Malaysia. The results show that the findings of KBHSA coincide with those of cardiologists. © 2007 Informa UK Ltd.
date: 2007
type: Article
type: PeerReviewed
identifier:   Javed, F. and Venkatachalam, P.A. and Hani, A.F.M.  (2007) Knowledge based system with embedded intelligent heart sound analyser for diagnosing cardiovascular disorders.  Journal of Medical Engineering and Technology, 31 (5).  pp. 341-350.  ISSN 03091902     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548082061&doi=10.1080%2f03091900600887876&partnerID=40&md5=1ea3cf3216a4d4acdad592ee6d585fc0
relation: 10.1080/03091900600887876
identifier: 10.1080/03091900600887876