AI-Based Assessment of Upper Limb Motor Skills and Virtual Reality Rhythmic Training for Older Adults and Mild Cognitive Impairment

What this Trial Is About

This research investigates how aging affects motor control, focusing on healthy elderly individuals and patients with mild cognitive impairment. Researchers aim to understand differences in upper limb motor adaptation and to develop interventions that improve motor function and cognitive abilities through multisensory rhythmic skill training. The study also uses artificial intelligence to classify grasp patterns among young adults, elderly, and those with mild cognitive impairment. Participants are assigned to one of three groups virtual reality-based rhythmic skill training using VR headsets and controllers for 35 minutes, rhythmic skill training with visual feedback via a computer interface for 35 minutes, or an upper limb strengthening exercise program supervised by a therapist. These interventions include various exercises and sensory stimulations designed to enhance motor planning, execution, and cognitive processing. Throughout the study, participants undergo assessments at baseline, 8 weeks, and 16 weeks to measure changes in grip behavior, sensory perception, manual dexterity, and cognitive function using tests like the Mini-Mental Status Examination and Purdue pegboard test. Researchers monitor motor adaptation and cognitive improvements, with the overall goal of preserving independence and quality of life for the elderly. The study is randomized and double-blind, lasting up to 16 weeks.

A Novel Multisensory-Rhythmic Intervention in Geriatric Rehabilitation