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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

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

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CRIS
Registry ID
KCT0007589
Enrollment
130
Registered
2022-07-29
Start date
2022-07-21
Completion date
Unknown
Last updated
2024-03-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Medical Device : After attaching the near-infrared medical device to the frontal lobe, have them take 5 sniff sticks. It takes about 5 minutes in total. Each stimulus lasts 20 seconds, with a rest per

Sponsors

Gwangju Institute of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: ¦ 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.

Exclusion criteria

Exclusion criteria: ¦ 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

Design outcomes

Primary

MeasureTime frame
Classification AUC of Normal Elderly, Alzheimer's Mild Cognitive Impairment and Dementia in Artificial Intelligence Model—

Secondary

MeasureTime frame
Change rate of near-infrared signal and precision, recall, PRAUC of artificial intelligence model—

Countries

Korea, Republic of

Contacts

Public ContactJaewon Kim

Gwangju Institute of Science and Technology

polariswon@gist.ac.kr+82-62-715-2636

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 10, 2026