%0 Journal Article
%@ 03091902
%A Javed, F.
%A Venkatachalam, P.A.
%A Hani, A.F.M.
%D 2007
%F scholars:241
%J Journal of Medical Engineering and Technology
%K Cardiology; Digital signal processing; Diseases; Embedded systems; Knowledge based systems; Neural networks, Auscultation; Cardiovascular disease (CVD); Cardiovascular diseases; Wigner-ville distribution, Intelligent systems, adolescent; adult; aged; analyzer; anamnesis; aorta stenosis; aorta valve prolapse; aorta valve regurgitation; article; artificial intelligence; auscultation; cardiologist; cardiovascular disease; clinical article; clinical examination; data analysis; diagnostic accuracy; early diagnosis; echocardiography; electronics; emergency care; general practitioner; heart atrium fibrillation; heart atrium septum defect; heart infarction; heart septum defect; heart sound; heart valve regurgitation; human; knowledge base; Malaysia; medical documentation; medical expert; medical instrumentation; mitral valve regurgitation; mitral valve stenosis; patent ductus arteriosus; pulmonary hypertension; pulmonary valve; pulmonary valve stenosis; reliability; signal processing; stethoscope; thorax radiography; tricuspid valve regurgitation; tricuspid valve stenosis; validity, Algorithms; Artificial Intelligence; Cardiovascular Diseases; Diagnosis, Computer-Assisted; Fourier Analysis; Heart Murmurs; Humans; Pattern Recognition, Automated; Phonocardiography; Reproducibility of Results; Sensitivity and Specificity; Sound Spectrography
%N 5
%P 341-350
%R 10.1080/03091900600887876
%T Knowledge based system with embedded intelligent heart sound analyser for diagnosing cardiovascular disorders
%U https://khub.utp.edu.my/scholars/241/
%V 31
%X 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.
%Z cited By 9