Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features

In this work, a novel stack of well-known technologies is presented to determine an automatic method to segment the heart sounds in a phonocardiogram (PCG). We will show a deep recurrent neural network (DRNN) capable of segmenting a PCG into their main components and a very specific way of extractin...

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Detalles Bibliográficos
Autores principales:	Gaona, Alvaro Joaquin, Arini, Pedro David
Formato:	Artículo publishedVersion
Lenguaje:	Inglés
Publicado:	FIUBA 2020
Materias:	phonocardiogram fourier transform long short-term memory fonocardiograma transformada sincronizada de fourier
Acceso en línea:	https://elektron.fi.uba.ar/elektron/article/view/101 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=101_oai
Aporte de:	Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

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