A clinically oriented VR-based treadmill training system for post-stroke rehabilitation: integration of motor learning and control principles
Year: 2025
Type: article
Abstract: Clinical use of Virtual Reality (VR)-based treadmill training to improve post-stroke gait is limited by a lack of adherence to motor learning and control principles, and user-centred design consideration. This study aims to outline the development and evaluation of a VR-based treadmill training system for post-stroke patients, aligning with currently accepted rehabilitation concepts and principles. The proposed system involves several modules and algorithms (e.g., biomechanical model, feedback controller, adaptive difficulty controller) along with portable motion capture technology to provide individualised rehabilitation focused training. Eight physiotherapists and eleven post-stroke participants were recruited to evaluate the system’s acceptability, usability, and adherence to motor learning and control principles. The physiotherapists reported high ratings in terms of the design’s adherence to motor learning and control principles, and both physiotherapists and post-stroke patients reported positive intention to use the system. The proposed system promotes individualised and progressive practice and feedback for post-stroke gait training in VR environments. Balancing technical complexity, practical considerations, and adherence to motor learning and control principles in this system can enhance the application of VR interventions for post-stroke patients in both clinical and remote rehabilitation settings.
Source: Virtual Reality
Language: English
Subfield: Rehabilitation
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,990
Award: 基于多源信息感知的交互式卒中后步态评估及康复训练系统研究
OpenAlex ID: W4412477132