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Title:
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Alzheimer Disease Diagnosis based on Automatic Spontaneous Speech Analysis
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Author:
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Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Solé-Casals, Jordi; Barroso, Nora; Faundez-Zanuy, Marcos; Ecay-Torres, Miriam; Travieso, Carlos M.; Ezeiza, Aitzol; Estanga, A.
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Other authors:
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Universitat de Vic. Escola Politècnica Superior; Universitat de Vic. Grup de Recerca en Tecnologies Digitals; Simposio Internacional de Comunicación Social (13è : 2013 : Santiago de Cuba) |
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Notes:
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Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative
dementia and it has a high socio-economic impact in Western countries, therefore is
one of the most active research areas today. Its diagnosis is sometimes made by excluding
other dementias, and definitive confirmation must be done trough a post-mortem
study of the brain tissue of the patient. The purpose of this paper is to contribute to improvement
of early diagnosis of AD and its degree of severity, from an automatic analysis
performed by non-invasive intelligent methods. The methods selected in this case are
Automatic Spontaneous Speech Analysis (ASSA) and Emotional Temperature (ET), that
have the great advantage of being non invasive, low cost and without any side effects. |
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Subject(s):
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-Alzheimer, Malaltia d'
-Processament de la parla |
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Rights:
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Aquest document està subjecte a aquesta llicència Creative Commons
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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Document type:
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Conference Object |
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