Valvular Heart Disease Classification through Hierarchical Decomposition via Matrix Factorization of Scalogram-Based Phonocardiogram Representations

This study introduces a novel classification framework based on Deep Orthogonal Non-Negative Matrix Factorization (Deep ONMF), which leverages scalogram representations of phonocardiogram (PCG) signals to hierarchically extract structural features crucial for detecting valvular heart diseases (VHDs)...

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Auteurs principaux:	Samira Moghani, Hossein Marvi, Zeynab Mohammadpoory
Format:	Artigo
Langue:	Inglês
Publié:	Shahrood University of Technology 2025-07-01
Collection:	Journal of Artificial Intelligence and Data Mining
Sujets:	phonocardiogram (pcg) valvular heart disease (vhd) deep orthogonal non-negative matrix factorization (deep onmf) scalogram time–frequency analysis
Accès en ligne:	https://jad.shahroodut.ac.ir/article_3520_4a7025abd1cfd82f12da82f34c53ba8c.pdf
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