A Clinically Relevant Method of Analyzing Continuous Change in Robotic Upper Extremity Chronic Stroke Rehabilitation.

摘要: BACKGROUND: Robots designed for rehabilitation of the upper extremity after stroke facilitate high rates repetition during practice movements and record precise kinematic data, providing a method to investigate motor recovery profiles over time. OBJECTIVE: To determine how robotic interventions provide insight into improving clinical gains. METHODS: A convenience sample (n = 22), from larger randomized control trial, was taken chronic participants completing 12 sessions arm therapy. One group received 60 minutes therapy (Robot only) other 45 on robot plus 15 translation-to-task + TTT). Movement time assessed using without powered assistance. Analyses (ANOVA, random coefficient modeling [RCM] with 2-term exponential function) were completed changes across intervention, between sessions, within session. RESULTS: Significant improvement (P CONCLUSIONS: The expanded analyses indicated that can occur in different ways but achieve similar goals may be influenced by individual factors such as initial movement These findings will guide decisions regarding treatment planning based relearning interventions.