Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44019
Title: New approaches for Alzheimer's disease diagnosis based on automatic spontaneous speech analysis and emotional temperature
Authors: López-de-Ipiña, Karmele
Alonso, Jesús B. 
Barroso, Nora
Faundez-Zanuy, Marcos
Ecay, Miriam
Solé-Casals, Jordi
Travieso, Carlos M. 
Estanga, Ainara
Ezeiza, Aitzol
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: AD; Automatic Spontaneous Speech Analysis
Issue Date: 2012
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 4th International Workshop on Ambient Assisted Living, IWAAL 2012 
Abstract: Alzheimer Disease (AD) is one of the most common dementia and their socio-economic relevance is growing. Its diagnosis is sometimes made by excluding other dementias, but definitive confirmation must await the study post-mortem with brain tissue of the patient. According to internationally accepted criteria, we can only speak about probable or possible Alzheimer’s disease. The purpose of this paper is to contribute to improve early diagnosis of dementia and severity from automatic analysis performed by non-invasive automated intelligent methods. The methods selected in this case are Automatic Spontaneous Speech Analysis (ASSA) and Emotional Temperature (ET). These methodologies have the great advantage of being non invasive, low cost methodologies and have no side effects.
URI: http://hdl.handle.net/10553/44019
ISBN: 9783642353949
ISSN: 0302-9743
DOI: 10.1007/978-3-642-35395-6_55
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7657 LNCS, p. 407-414
Appears in Collections:Actas de congresos
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