The Effects of a Virtual Reality Rehabilitation Task on Elderly Subjects: An Experimental Study Using Multimodal Data

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 30; pp. 1684 - 1692
• Main Authors: Qu, Jing, Cui, Lizhen, Guo, Wei, Ren, Xipei, Bu, Lingguo
• Format: Journal Article
• Language: English
• Published: United States IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Age related diseases; Aged; Aging; Brain; Cognitive ability; Computer applications; Diseases; EEG; Electroencephalography; Frequency dependence; Geriatrics; Geriatrics - methods; Human performance; Humans; Locking; Locomotor activity; multimodal data; Neural networks; Older adults; Older people; Rehabilitation; rehabilitation assessment; Sensory integration; Sociology; Statistics; Task analysis; Temporal resolution; Virtual Reality
• ISSN: 1534-4320; 1558-0210; 1558-0210
• DOI: 10.1109/TNSRE.2022.3183686

Ageing populations are becoming a global issue. Against this background, the assessment and treatment of geriatric conditions have become increasingly important. This study draws on the multisensory integration of virtual reality (VR) devices in the field of rehabilitation to assess brain function i...