title: On the selection of non-invasive methods based on speech analysis oriented to automatic Alzheimer disease diagnosis.
abstract: 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 potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.
authors.affiliation: Systems Engineering and Automation Department, University of the Basque Country UPV/EHU, Donostia 20018, Spain. karmele.ipina@ehu.es
authors.forename: Karmele
authors.initials: K
authors.lastname: López-de-Ipiña
authors.forename: Jesus-Bernardino
authors.initials: JB
authors.lastname: Alonso
authors.forename: Carlos Manuel
authors.initials: CM
authors.lastname: Travieso
authors.forename: Jordi
authors.initials: J
authors.lastname: Solé-Casals
authors.forename: Harkaitz
authors.initials: H
authors.lastname: Egiraun
authors.forename: Marcos
authors.initials: M
authors.lastname: Faundez-Zanuy
authors.forename: Aitzol
authors.initials: A
authors.lastname: Ezeiza
authors.forename: Nora
authors.initials: N
authors.lastname: Barroso
authors.forename: Miriam
authors.initials: M
authors.lastname: Ecay-Torres
authors.forename: Pablo
authors.initials: P
authors.lastname: Martinez-Lage
authors.forename: Unai
authors.initials: U
authors.lastname: Martinez de Lizardui
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000175:diagnosis* / Q000503:physiopathology; D001331:Automation; D019937:Diagnostic Techniques and Procedures; D004644:Emotions; D005260:Female; D017709:Fractals; D006801:Humans; D008297:Male; D008875:Middle Aged; D010865:Pilot Projects; D012815:Signal Processing, Computer-Assisted; D013060:Speech / Q000502:physiology*; D013696:Temperature; D055815:Young Adult