Heart Sound Segmentation Using Deep Learning Techniques

Manas Madine

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arxiv 2406.05653 v1 pith:L6JUYGJJ submitted 2024-06-09 cs.SD cs.AIeess.AS

Heart Sound Segmentation Using Deep Learning Techniques

Manas Madine This is my paper

classification cs.SD cs.AIeess.AS

keywords heartsoundclassificationsegmentationsoundsanalysisapproachapproaches

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Heart disease remains a leading cause of mortality worldwide. Auscultation, the process of listening to heart sounds, can be enhanced through computer-aided analysis using Phonocardiogram (PCG) signals. This paper presents a novel approach for heart sound segmentation and classification into S1 (LUB) and S2 (DUB) sounds. We employ FFT-based filtering, dynamic programming for event detection, and a Siamese network for robust classification. Our method demonstrates superior performance on the PASCAL heart sound dataset compared to existing approaches.

Heart Sound Segmentation Using Deep Learning Techniques

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