Granting a Better Verdict of the Mini-Mental State Examination (MMSE) With New Technologies

Gemma Alejandra Martínez Santos

Ariel Lopez Aguilar

Sergio Navarro Tuch

Lili Marlene Camacho Bustamante

Rogelio Bustamante-Bello

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.

This publication uses ECG, Facial Expression Analysis and GSR which is fully integrated into iMotions Lab

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