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Consulteu per autor "Beitia, Blanca"

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

Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Travieso, Carlos M.; Solé-Casals, Jordi; Ezeiza, Aitzol; Faundez-Zanuy, Marcos; Beitia, Blanca; Calvo, Pilar (Elsevier, 2015)

Alzheimer׳s disease (AD) is the most common type of dementia among the elderly. This work is part of a larger study that aims to identify novel technologies and biomarkers or features for the early detection of AD and its ...
Feature selection for spontaneous speech analysis to aid in Alzheimer’s disease diagnosis: A fractal dimension approach

Lopez-de-Ipiña, Karmele; Solé-Casals, Jordi; Egiraun, Harkaitz; Alonso, Jesús B.; Travieso, Carlos M.; Ezeiza, Aitzol; Barroso, Nora; Ecay-Torres, Miriam; Martinez-Lage, Pablo; Beitia, Blanca (Elsevier, 2015)

Alzheimer’s disease (AD) is the most prevalent form of degenerative dementia; it has a high socio-economic impact in Westerncountries. The purpose of our project is to contribute to earlier diagnosis of AD and allow better ...
Selection of Entropy Based Features for Automatic Analysis of Essential Tremor

Lopez-de-Ipiña, Karmele; Solé-Casals, Jordi; Faundez-Zanuy, Marcos; Calvo, Pilar; Sesa Nogueras, Enric; Martinez de Lizardui, Unai; De La Riva, Patricia; Marti-Masso, Jose F.; Beitia, Blanca; Bergareche, Alberto (MDPI, 2016)

Biomedical systems produce biosignals that arise from interaction mechanisms. In a general form, those mechanisms occur across multiple scales, both spatial and temporal, and contain linear and non-linear information. ...

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Consulteu per autor "Beitia, Blanca"

Consulteu per autor "Beitia, Blanca"

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