Development of machine learning/artificial intelligence algorithm that can select normal people and patients with mild cognitive impairment from fNIRS signals measured during olfactory stimulation in the prefrontal cortex

Gwangju Institute of Science and Technology0 个研究点目标入组 130 人开始时间: 待定最近更新: 2024年3月4日

试验速览

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•¦ Criteria for selection of research subjects
•? Adult men and women with no physical or mental history other than dementia
•(Age 45 or older – under 100)
•? Normal people with no symptoms of dementia
•? Mild cognitive impairment
•? Dementia patients
•? Since this study establishes a system that can classify dementia severity and monitor the progress of dementia patients through the modeling of indicators related to brain function and behavior of dementia patients, it is difficult to analyze the significant characteristics as the severity corresponds to the terminal stage. Patients with difficult AD were not included in the initial study. However, if a subject corresponding to the severity level 0 to 4 in this study develops into a terminal AD patient, it may be included in the subject of the follow-up/analysis study.

•¦ Criteria for exclusion of study subjects
•? If it is judged that the experiment is impossible because you cannot sit still for more than 10 minutes
•? Elderly people with reduced sense of smell due to acute infection
•? If you are unable to walk on your own due to severe gait disturbance
•? When it is judged that the gait and balance-related behavior experiment cannot be performed due to the high risk of falling

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