@article{ART002991986},
author={HongJoong, Kim and Ryu Gab Sang},
title={A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2023},
volume={9},
number={4},
pages={33-40},
doi={10.20465/KIOTS.2023.9.4.033}
TY - JOUR
AU - HongJoong, Kim
AU - Ryu Gab Sang
TI - A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency
JO - Journal of Internet of Things and Convergence
PY - 2023
VL - 9
IS - 4
PB - The Korea Internet of Things Society
SP - 33
EP - 40
SN - 2466-0078
AB - As society enters an aging population, the increase in the elderly population has raised concerns about health issues among the elderly, particularly dementia and mild cognitive impairment, which have become social issues. As of 2021, the ratio of dementia patients and individuals with mild cognitive impairment to the elderly population was approximately 11%, highlighting the importance of cognitive rehabilitation training. Cognitive rehabilitation training is actively being introduced as one of the treatments in nursing homes and elderly welfare centers, primarily conducted by assigning standardized performance tasks in a structured environment to train specific cognitive domains. To enhance the effectiveness of cognitive rehabilitation training, it is necessary to analyze each cognitive domain (such as attention, memory, language, executive function) and propose personalized cognitive rehabilitation training methods for individuals. In this study, we have proposed a method for utilizing artificial intelligence technology to establish universal and objective criteria for training in seven cognitive domains based MMSE-DS protocol. We have implemented user-customized training content based on an analysis of the user's abilities with the aim of utilizing it in cognitive rehabilitation training
KW - AI;Cognitive Rehabilityation Training;MDP
DO - 10.20465/KIOTS.2023.9.4.033
ER -
HongJoong, Kim and Ryu Gab Sang. (2023). A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency. Journal of Internet of Things and Convergence, 9(4), 33-40.
HongJoong, Kim and Ryu Gab Sang. 2023, "A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency", Journal of Internet of Things and Convergence, vol.9, no.4 pp.33-40. Available from: doi:10.20465/KIOTS.2023.9.4.033
HongJoong, Kim, Ryu Gab Sang "A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency" Journal of Internet of Things and Convergence 9.4 pp.33-40 (2023) : 33.
HongJoong, Kim, Ryu Gab Sang. A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency. 2023; 9(4), 33-40. Available from: doi:10.20465/KIOTS.2023.9.4.033
HongJoong, Kim and Ryu Gab Sang. "A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency" Journal of Internet of Things and Convergence 9, no.4 (2023) : 33-40.doi: 10.20465/KIOTS.2023.9.4.033
HongJoong, Kim; Ryu Gab Sang. A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency. Journal of Internet of Things and Convergence, 9(4), 33-40. doi: 10.20465/KIOTS.2023.9.4.033
HongJoong, Kim; Ryu Gab Sang. A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency. Journal of Internet of Things and Convergence. 2023; 9(4) 33-40. doi: 10.20465/KIOTS.2023.9.4.033
HongJoong, Kim, Ryu Gab Sang. A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency. 2023; 9(4), 33-40. Available from: doi:10.20465/KIOTS.2023.9.4.033
HongJoong, Kim and Ryu Gab Sang. "A Study of Artificial intelligence technology to improve cognitive rehabilitation training efficiency" Journal of Internet of Things and Convergence 9, no.4 (2023) : 33-40.doi: 10.20465/KIOTS.2023.9.4.033
