Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system

Area of Science:

• Rehabilitation Medicine
• Neuroscience
• Biomedical Engineering

Background:

• Rehabilitative training post-stroke is dose-dependent, but outpatient therapy faces logistical and compliance challenges.
• Unsupervised, self-directed rehabilitation offers a potential solution to overcome these limitations.
• This study investigated the feasibility of home-based arm therapy using virtual reality.

Purpose of the Study:

• To assess the feasibility and effectiveness of an unsupervised, inertial measurement unit (IMU)-based virtual reality system for home-based stroke rehabilitation.
• To evaluate the safety, patient adherence, and impact on arm function of self-directed therapy.

Main Methods:

• An open-label, single-group study involving eleven stroke patients with hemiparesis.
• Patients used the ArmeoSenso (IMU-based VR system) for home-based training over six weeks.
• Outcomes included self-selected training dose, Fugl-Meyer Assessment of the Upper Extremity (FMA-UE), Wolf Motor Function Test (WMFT), and IMU-derived kinematic metrics.

Main Results:

• All patients used the system independently and safely, training an average of 26.5 days out of 42.
• Significant improvement in arm function was observed (FMA-UE score increased by 4.1 points, p=0.003).
• The system provided a high dose of therapy (137 min/week) with minimal compensatory trunk movements.

Conclusions:

• Self-directed home therapy with an IMU-based VR system is safe and feasible for stroke survivors.
• The system enables high-dose rehabilitation and integrates assessments for monitoring and adaptation.
• This approach facilitates effective self-rehabilitation, potentially improving patient outcomes.