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The central aim is to develop an algorithm that effectively segments heart sound signals for analysis.

November 23, 2002

Heart sound segmentation algorithm based on heart sound envelogram

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The central aim is to develop an algorithm that effectively segments heart sound signals for analysis.
Created a segmentation algorithm dividing heart sound signals into four components.
Used normalized average Shannon energy of phonocardiogram signals for the algorithm.
Evaluated performance using 515 periods of PCG recordings from 37 subjects.
Achieved a 93% correct ratio in segmenting heart sound signals.

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Development of a segmentation algorithm for heart sounds, suggesting improved automatic diagnosis techniques.

Liang et al. (2002) studied this question.

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