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On the alzheimer’s disease diagnosis: Automatic spontaneous speech analysis

On the alzheimer’s disease diagnosis: Automatic spontaneous speech analysis
 
Lopez-de-Ipiña, Karmele ; Solé-Casals, Jordi ; Alonso, Jesús B. ; Travieso, Carlos M. ; Ecay-Torres, Miriam ; Martinez-Lage, Pablo
2014

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Nom: artconlli_a2014_sole_jordi_alzheimer_disease.pdf
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Enllaç permanent: http://hdl.handle.net/10854/3810
 
Versió de l'editor: https://doi.org/10.1007/978-3-662-44994-3_14
 

Resum:

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 through a post-mortem ...»»»»
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 through a post-mortem study of the brain tissue of the patient. The purpose of this paper is to contribute to the 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. The developed system obtains hopeful results for early diagnosis.^^^^

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Tots els drets reservats (c) Springer (The original publication is available at www.springerlink.com)

Citació Bibliogràfica:

Lopez-De-Ipiña, K., Solé-Casals, J., Alonso, J. B., Travieso, C. M., Ecay, M., & Martinez-Lage, P. (2014). On the alzheimer’s disease diagnosis: Automatic spontaneous speech analysis. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8790, 272-281.