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Original Article

기계 학습에 기반한 가상현실의 손 움직임을 통한 경도인지장애 조기 선별: 가상현실 기반의 경도인지장애 조기 선별
J Cogn Interv Digit Health. 2022 Dec;1(1):1-7.Korean. 전문보기
박진석, 서경원, 김성은, 류호경, 최호진.
Background and Purpose
Mild cognitive impairment (MCI) has traditionally been assessed using questionnaire-based instrumental activities of daily living. Technology-activities of daily living, utilizes the latest information and communication technologies such as computers, kiosks, and the Internet, is attracting attention as a more sensitive assessment method. To demonstrates the discriminative power of the virtual kiosk test in the screening of MCI.

Methods
We developed a ‘virtual kiosk test’ were asked to order a hamburger set in an immersive virtual environment. These tests were obtained converted into two hand movement features, time to completion and number of errors. We recruited healthy controls and MCI patients, all subjects performed both neuropsychological tests and a virtual kiosk test in random order.

Results
Nine healthy controls (5 males; average age is 67.00±13.70 years) and 8 MCI patients (4 males; average age is 70.88±7.99 years) were participated in this study. MCI patients showed significantly slower hand movement speed (p=0.014) than healthy controls, Digit Symbol Coding test and hand movement speed showed a positive correlation (r=0.65, p=0.01). The virtual kiosk test differentiated MCI patients from healthy controls with 84.72% accuracy, 88.89% sensitivity, and 82.22% specificity.

Conclusions
It was confirmed that the virtual kiosk test can be used as a screening test for MCI patients, and additional research will be needed for clinical usefulness.
Key Words: Mild Cognitive Impairment; Activities of Daily Living; Virtual Reality