# Heart Sound Segmentation Using Deep Learning Techniques

arXiv: https://arxiv.org/abs/2406.05653 · HTML: https://mlsanity.com/paper/2406.05653/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 9 Jun 2024.

## Abstract (arXiv)

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.