Granting a better verdict of the Mini-mental State Examination (MMSE) with new technologies.
Authors: Gemma Alejandra Martínez Santos, Ariel Lopez Aguilar, Sergio Navarro Tuch, Lili Marlene Camacho Bustamante, Rogelio Bustamante-Bello
Abstract: There are millions of people in the world who have been diagnosed with dementia and this condition not only directly affects the patient, but also their family members and caregivers; That is why it is sought to have a verdict in which it can be reliably seen if a person suffers from dementia. The way to know if the patient have dementia, is doing a test, one of the most famous tests is the Mini-mental State Examination (MMSE) this is test that is formed by five different sections: Orientation Registration, Attention and calculation, Language, Deferred memory; where it will seek to implement new parameters that will be recollected during al the test with a non-invasive sensor named shimmer, such as emotional response through facial expression analysis, galvanic skin response, heart rate and image similarity, using iMotions and OpenCV; the collected data is useful to the doctors to have an insight about the patient and they can give a better diagnose, and they can see the most difficult part to the participant.
Keywords: Dementia, MMSE, diagnostic technology, behaviour, emotions, computer vision.
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