Plausibility of a Neural Network Classifier-Based Neuroprosthesis for Depression Detection via Laughter Records

The present work explores the diagnostic performance for depression of neural network classifiers analyzing the sound structures of laughter as registered from clinical patients and healthy controls. The main methodological novelty of this work is that simple sound variables of laughter are used as...

Descripción completa

Detalles Bibliográficos
Autores principales: Navarro, Jorge, Fernández Rosell, Mercedes, Castellanos, Angel, del Moral, Raquel, Lahoz-Beltra, Rafael, Marijuán, Pedro C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437104/
https://www.ncbi.nlm.nih.gov/pubmed/30949025
http://dx.doi.org/10.3389/fnins.2019.00267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437104/
https://www.ncbi.nlm.nih.gov/pubmed/30949025
http://dx.doi.org/10.3389/fnins.2019.00267

Ejemplares similares