Feature selection for spontaneous speech analysis to aid in Alzheimer's disease diagnosis: A fractal dimension approach

Author:

López-de-Ipiña Karmele,Solé-Casals Jordi,Eguiraun HarkaitzORCID,Alonso J.B.,Travieso C.M.,Ezeiza Aitzol,Barroso Nora,Ecay-Torres Miriam,Martinez-Lage Pablo,Beitia Blanca

Funder

University of Vic – Central University of Catalonia

Spanish Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference41 articles.

1. Alzheimer's Association;AA,2014

2. Diagnostic and Statistical Manual of Mental disorders, Washington DC;American Psychiatric Association (APA),2000

3. Fractal dimension of the EEG in Alzheimer's disease;Abásolo;Encycl. Healthcare Inform. Syst.,2008

4. An improved method for voice pathology detection by means of a HMM-based feature space transformation;Arias-Londoño;Pattern Recogn.,2010

5. What is wrong in Katz's method? Comments on: “A note on fractal dimen-sions of biomedical waveforms”;Castiglioni;Comput. Biol. Med.,2010

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