Abstract Alzheimer
Mental health illnesses are a problem that is growing fast in today's society, Alzheimer's disease is one of those diseases that leads to dementia, mental health problem. A primary, now irreversible and progressive neurodegenerative dementia is considered. The complexity of the causes of the disease, its diagnosis difficult and different risk factors come into play that make it one of the diseases most investigated today. Greater knowledge of the disease has been achieved from neuroimaging and neuropathological and genetic findings. This disease is the most common form dementia in adults, can occur in people aged between 65 and 75 years, and exceptionally, in young adults from 30 years. The reversal of the generational pyramid is another great reason for research in this field quickly acquire the importance it deserves.
Alzheimer patients show a gradual decline in the use of language in the course of the stages of the disease. In addition, abnormalities in speech and language deficits are directly related to the severity of the type of dementia, and manifesting itself in the initial phase of the disease. The abnormal expression of emotional states experienced by patients with dementia this is another important step for the early detection of Alzheimer's disease.
This project aims to develop a noninvasive tool based on the digital processing spontaneous speech, for early detection of Alzheimer's disease and developmental control of patients.
It is intended to assess different aspects that so far not consist references, such as: a) acoustic voice evaluation (stability of voice, spectral richness, presence of noise and irregularities in the masses of the strings ), b) and c assessment of emotional charge) different characteristics (linguistic and paralinguistic) language.
A novel way be held a database with regular monitoring on the same patients with a duration of ten months in collaboration with the reference center of the Canary Islands in care for patients with Alzheimer's disease, Alzheimer Canarias.
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Abstract Alzheimer
Mental health illnesses are a problem that are growing fast today. Alzheimer's disease is one of these and it leads to dementia and mental health problems. This primary, now irreversible and progressive neurodegenerative dementia is considered. The complexity of the causes of this disease, its difficult diagnosis and different risk factors make it one of the diseases most investigated today. Greater knowledge of the disease has come from neuro-imaging and neuro-pathological and genetic findings. This disease is the most common form of dementia in adults and can occur between the ages of 65 and 75 years, and exceptionally, in young adults from 30 years. The reversal of the generational pyramid is another strong reason for research in this field which will hopefully quickly acquire the importance it deserves.Alzheimer patients show a gradual decline in the use of language in the course of the disease. In addition, abnormalities in speech and language deficits are directly related to the severity of the type of dementia, and manifest themselves in its initial phases. The abnormal outbursts of emotion experienced by patients with dementia is another important step for its early detection.
This project aims to develop a non-invasive tool based on digitally processing spontaneous speech, for early detection of Alzheimer's disease and developmental control of patients.
It is intended to assess different aspects that so far have no consistant references, such as: a) acoustic voice evaluation (stability of voice, spectral range/richness, presence of noise and irregularities in the masses of ?the strings? ), b) and c assessment of emotional charge) different characteristics (linguistic and paralinguistic) language.
A novel way would be to collect electronic data which regularly monitors the same patients with a duration of ten months in collaboration with the reference center of the Canary Islands caring for Alzheimer's patients, Alzheimer Canarias.
Very well written!
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