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

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...

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Bibliographic Details
Main Authors: Jorge Navarro, Mercedes Fernández Rosell, Angel Castellanos, Raquel del Moral, Rafael Lahoz-Beltra, Pedro C. Marijuán
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Neuroscience
Subjects:
neuroprosthesis
neural network classifiers
laughter sound structures
depression detection
neuropsychiatry
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00267/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.00267/full

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