Early detection system of senile dementia by analyzing behavioral data of actual patients

Abstract

If dementia is detected at an early stage, the progress of disease can be slowed. Accordingly early detection of dementia is important. We proposed a system which detects suspicion of dementia at an early stage of the disease for the elderly people living alone. In this study, we obtain behavioral data of actual dementia patients. Then, we create evaluation methods and analytical method from behavioral data of actual dementia patients. In the evaluation, we evaluate adequacy of analytical method in environment by pseudo patients with dementia.