On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the pot...

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Bibliographic Details
Main Authors: Unai Martinez de Lizardui, Nora Barroso, Miriam Ecay-Torres, Pablo Martinez-Lage, Marcos Faundez-Zanuy, Aitzol Ezeiza, Jordi Solé-Casals, Harkaitz Egiraun, Carlos Manuel Travieso, Jesus-Bernardino Alonso, Karmele López-de-Ipiña
Format: Article
Language:English
Published: MDPI AG 2013-05-01
Series:Sensors
Subjects:
Alzheimer’s disease diagnosis
spontaneous speech
emotion recognition
machine learning
non-invasive diagnostic techniques
dementia
Online Access:http://www.mdpi.com/1424-8220/13/5/6730

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