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%).