Feature selection for automatic analysis of emotional response based on nonlinear speech modeling suitable for diagnosis of Alzheimer׳s disease-Reference-Cited by-同舟云学术

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Feature selection for automatic analysis of emotional response based on nonlinear speech modeling suitable for diagnosis of Alzheimer׳s disease

Published:2015-02 Issue: Volume:150 Page:392-401
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

López-de-Ipiña K.,Alonso-Hernández J.B.,Solé-Casals J.,Travieso-González C.M.,Ezeiza A.,Faúndez-Zanuy M.,Calvo P.M.,Beitia B.

Funder

SAIOTEK grant from the Basque Government

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference53 articles.

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2. The diagnosis of dementia due to Alzheimer׳s disease: recommendations from the NIAA Association workgroups on diagnostic guidelines for AD;McKhann;Alzheimers Dement.,2011

3. The effects of age and Alzheimer׳s disease on hippocampal volumes, a MRI study;Van de Pole;Alzheimer's & Dementia.,2005

4. Alzheimer׳s disease: a review of diagnostic criteria Meds;Prashanth;The University of Western Ontario Medical Journal,2012

5. The Clinical Dementia Rating (CDR): current version and scoring rules;Morris;Neurology,1993

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