A microcomputer system can automate the segmentation of phonocardiograms and extract parameters to assist in the detection and classification of heart murmurs.
May facilitate automated murmur detection; leaves open validation in diverse clinical populations.
We present here details of a microcomputer system developed to segment the phonocardiogram signal (PCG) and characterize murmurs. Using the ECG and carotid pulse as references, the PCG is segmented into systolic and diastolic parts. Four parameters representing the time and frequency domain characteristics of the signal segments are then computed. Results of application of the methods to 47 phonocardiogram signals are presented. The use of these parameters for the detection and classification of murmurs is discussed.
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Lehner et al. (1987) studied this question.
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