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Effects of Computerized Cognitive Training Program Using Artificial Intelligence Motion Capture on Cognitive Function, Depression, and Quality of Life in Older Adults With Mild Cognitive Impairment During COVID-19: Pilot Study

인공지능 동작 인식을 활용한 전산화인지훈련이 코로나-19 기간 동안 경도 인지장애 고령자의 인지 기능, 우울, 삶의 질에 미치는 영향: 예비 연구

  • Park, Ji Hyeun (Dept. of Occupational Therapy, Graduate School, Yonsei University) ;
  • Lee, Gyeong A (Dept. of Occupational Therapy, Graduate School, Yonsei University) ;
  • Lee, Jiyeon (Dept. of Occupational Therapy, Graduate School, Yonsei University) ;
  • Park, Young Uk (Dept. of Artificial Intelligence Development, YoungAnd, Chief Executive Officer) ;
  • Park, Ji-Hyuk (Dept. of Occupational Therapy, College of Software and Digital Healthcare Convergence, Yonsei University)
  • 박지현 (연세대학교 대학원 작업치료학과) ;
  • 이경아 (연세대학교 대학원 작업치료학과) ;
  • 이지연 (연세대학교 대학원 작업치료학과) ;
  • 박영욱 (영앤 인공지능 개발부) ;
  • 박지혁 (연세대학교 소프트웨어디지털헬스케어융합대학 작업치료학과)
  • Received : 2023.01.20
  • Accepted : 2023.03.28
  • Published : 2023.05.31

Abstract

Objective : We investigated the efficacy of an artificial intelligence computerized cognitive training program using motion capture to identify changes in cognition, depression, and quality of life in older adults with mild cognitive impairment. Methods : A total of seven older adults (experimental group = 4, control group = 3) participated in this study. During the COVID-19 period from October to December 2021, we used a program, "MOOVE Brain", that we had developed. The experimental group performed the program 30 minutes 3×/week for 1 month. We analyzed patients scores from the Korean version of the Mini-Mental State Examination-2, the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet for Daily Life Evaluation, the short form Geriatric Depression Scale, and Geriatric Quality of Life Scale. Results : We observed positive changes in the mean scores of the Stroop Color Test (attention), Stroop Color/Word Test (executive function), SGDS-K (depression), and GQOL (QoL). However, these changes did not reach statistical significance for each variable. Conclusion : The study results from "MOOVE Brain" can help address cognitive and psychosocial issues in isolated patients with MCI during the COVID-19 pandemic or those unable to access in-person medical services.

목적 : 본 연구의 목적은 경도인지장애 고령자에게 인공지능 동작 인식 기술을 활용한 전산화인지훈련 프로그램을 실시하여 인지 기능, 우울감, 삶의 질을 향상시키고자 한다. 연구방법 : 연구 참여자는 총 7명(실험군 = 4명, 대조군 = 3명)이며 코로나-19 발생 기간인 2021년 10월부터 12월까지 시행되었다. 프로그램은 직접 개발한 인공지능 동작 인식 기술을 활용한 전산화 프로그램 "MOOVE Brain"을 활용했으며 실험군은 한 달 동안 주 3회 30분씩 프로그램을 진행하였고 대조군에게는 중재를 제공하지 않았다. 치료의 전후 평가는 Korean version of the Mini-Mental State Examination-2, Korean version of the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet for Daily Life Evaluation, Korean version of the short form Geriatric Depression Scale (SGDS-K), 그리고 Geriatric Quality of Life Scale (GQOL)을 이용하였다. 결과 : 치료 전후로 실험군의 주의력 지표인 Stroop Color Test에서 평균 점수가 향상되었고(p = .068), 그룹 간 비교를 했을 때는 실험군의 실행 기능 평가 지표인 Stroop Color/Word Test 평균 점수가 향상되었다(p = .057). 그룹 간의 변화량을 비교했을 때는 실험군의 삶의 질 측정 도구인 GQOL (p = .057)과 우울증 지표인 SGDS-K (p = .057)의 평균 점수가 개선되었다. 하지만 각 영역들은 통계적으로 유의미하지 않았다. 결론 : 본 연구의 결과는 코로나-19로 인해 격리되어 있거나 의료 서비스를 받기 힘든 경도인지장애 고령자의 인지 및 심리 사회적 문제를 해결하는 데 활용될 수 있을 것으로 기대된다.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2022S1A5A2A03051993).

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