TY - GEN
T1 - Diagnostic and rehabilitation system for Alzheimer's disease based on virtual reality technology in rehabilitation rooms
AU - Ji, Yuehua
AU - Xu, Yanrong
AU - Huang, Yanyan
AU - Wei, Liang
AU - Wu, Hsiao Kuang
AU - Yeh, Shih Ching
AU - Li, Mengyao
AU - Liang, Chung Han
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Dementia commonly occurs in the elderly and often manifests as cognitive impairments in the sense of orientation, memory and learning but the cause of this disorder is unknown. In recent years, scholars or therapists have engaged in various medical rehabilitation studies that have shifted the focus to the field of virtual reality (VR) due to the rapid development of this and other technologies. The rehabilitation system proposed in this study is solely for patients with Alzheimer's disease. This system is used to evaluate patients by referring to the Efficient Self-Assessment of Diagnostic Scale for Alzheimer's Disease and Cognitive Function, thereby providing targeted and scientific guidance for follow-up treatment and rehabilitation. Experimental results prove that the proposed rehabilitation system is easily accepted by the elderly, and the elderly demonstrate a relaxed and pleasant disposition during the testing process. It overcomes the shortcomings of traditional paper-pencil cognitive tests. Given its good performance, this system demonstrates a good initial response and has certain research and application prospects. Research on its diagnosis and rehabilitation is still required.
AB - Dementia commonly occurs in the elderly and often manifests as cognitive impairments in the sense of orientation, memory and learning but the cause of this disorder is unknown. In recent years, scholars or therapists have engaged in various medical rehabilitation studies that have shifted the focus to the field of virtual reality (VR) due to the rapid development of this and other technologies. The rehabilitation system proposed in this study is solely for patients with Alzheimer's disease. This system is used to evaluate patients by referring to the Efficient Self-Assessment of Diagnostic Scale for Alzheimer's Disease and Cognitive Function, thereby providing targeted and scientific guidance for follow-up treatment and rehabilitation. Experimental results prove that the proposed rehabilitation system is easily accepted by the elderly, and the elderly demonstrate a relaxed and pleasant disposition during the testing process. It overcomes the shortcomings of traditional paper-pencil cognitive tests. Given its good performance, this system demonstrates a good initial response and has certain research and application prospects. Research on its diagnosis and rehabilitation is still required.
KW - Alzheimer's disease
KW - Cognitive function training
KW - Physiological sensing
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85070908679&partnerID=8YFLogxK
U2 - 10.1109/ICPHYS.2019.8780143
DO - 10.1109/ICPHYS.2019.8780143
M3 - Conference contribution
AN - SCOPUS:85070908679
T3 - Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
SP - 411
EP - 416
BT - Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
Y2 - 6 May 2019 through 9 May 2019
ER -