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 ...»»»»
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.^^^^
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(c) Springer (The original publication is available at www.springerlink.com)
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Citació Bibliogràfica:
López-de-Ipiña K. et al. (2012) New Approaches for Alzheimer’s Disease Diagnosis Based on Automatic Spontaneous Speech Analysis and Emotional Temperature. In: Bravo J., Hervás R., Rodríguez M. (eds) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science, vol 7657. Springer, Berlin, Heidelberg