Comparison of Spectral and Sparse Feature Extraction Methods for Heart Sounds Classification.

Cardiovascular diseases (CVDs) remain the leading cause of morbidity worldwide. The heart sound signal or phonocardiogram (PCG) is the most simple, low-cost, and effective tool to assist physicians in diagnosing CVDs. Advances in signal processing and machine learning have motivated the design of co...

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Detalles Bibliográficos

Publicado en:	Revista Mexicana de Ingeniería Biomédica Vol. 44; pp. 6 - 23
Autores principales:	Frajo Ibarra-Hernández, Roilhi, Ángel Alonso-Arévalo, Miguel, del Carmen García-Canseco, Eloísa
Formato:	Artículo
Publicado:	Sociedad Mexicana de Ingenieria Biomedica, A.C. 2023 Special Issue
Materias:	Cardiovascular disease diagnosis Feature extraction Heart sounds Phonocardiography Random forest algorithms
Acceso en línea:	Ver este registro en EBSCOhost