Feasibility Study of Using a Robotic Trainer for Upper Body Exercises in Adults with Lower Limb Orthopedic Conditions During Inpatient Rehabilitation

What this Trial Is About

This research aims to assess the feasibility and user experience of using a robotic system to support upper body physical training for adults undergoing inpatient rehabilitation for lower limb orthopedic conditions. The study focuses on encouraging physical activity among these patients, who often have limited mobility and low activity levels during rehabilitation. It seeks to understand how acceptable and suitable this robotic training is, including tracking attendance, engagement, satisfaction, and any unexpected adverse events. Participants will take part in self-practice sessions with a robotic trainer three times a week for three weeks, each lasting about 30 minutes. The training involves the robot demonstrating upper body strengthening and flexibility exercises, such as lifting weights and using resistance bands, with verbal instructions and motivational feedback. A physical therapist will help select exercises suited to the participants abilities and goals, supervise sessions to ensure safety, and adjust the program as needed. Participants will log into the system using a unique number and provide feedback through questionnaires before and after the training period. During the study, participants will complete questionnaires about their experience and personal attributes before starting. Each training session begins with the robot introducing itself and guiding exercises while collecting data on performance. After exercising, participants rate their exertion using a scale displayed on the robot. The study will monitor attendance, time spent exercising, enjoyment, and overall user experience. A physical therapist will oversee all sessions to ensure proper exercise execution and adjust difficulty. The total involvement spans approximately three to four weeks of treatment.

Self-Practicing Upper Body Exercises With a Robotic Trainer System