Heart Sound Segmentation Using Deep Learning Techniques
<|reference_start|>Heart Sound Segmentation Using Deep Learning Techniques: 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.<|reference_end|>
@article{madine2024heart,
    title={Heart Sound Segmentation Using Deep Learning Techniques},
    author={Manas Madine},
    journal={arXiv preprint arXiv:2406.05653},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.05653},
    primaryClass={cs.SD cs.AI eess.AS}
}