Journal of NeuroEngineering and Rehabilitation, 2016 · DOI: 10.1186/s12984-016-0182-1 · Published: July 26, 2016
This study explores the use of a virtual reality system (ArmeoSenso) for unsupervised arm therapy at home for stroke patients. The system uses wearable sensors to track arm movements and provide engaging, adaptive rehabilitation games. Patients used the system independently for six weeks, and the study measured their training duration, arm function improvements, and any compensatory movements made during training. The results showed that the system is safe and feasible for home use, allowing patients to engage in high-dose rehabilitation therapy with improvements in arm function and minimal compensatory movements.
Self-directed home therapy systems can provide increased access to rehabilitation for stroke patients, overcoming limitations of traditional outpatient therapy.
Automated assessments and adaptive games allow for personalized therapy programs that can be adjusted based on individual patient progress and needs.
Integrated monitoring systems can detect maladaptive movement patterns and provide feedback to prevent compensatory movements.