Novel Design on Knee Exoskeleton with Compliant Actuator for Post-Stroke Rehabilitation
Knee joint disorders pose a significant and growing challenge to global healthcare systems. Recent advancements in robotics, sensing technologies, and artificial intelligence have driven the development of robot-assisted therapies, reducing the physical burden on therapists and improving rehabilitation outcomes. This study presents a novel knee exoskeleton designed for safe and adaptive rehabilitation, specifically targeting bed-bound stroke patients to enable early intervention. The exoskeleton comprises a leg splint, thigh splint, and an actuator, incorporating a series elastic actuator (SEA) to enhance torque density and provide intrinsic compliance. A variable impedance control method was also implemented to achieve accurate position tracking of the exoskeleton, and performance tests were conducted with and without human participants. A preliminary clinical study involving two stroke patients demonstrated the exoskeleton's potential in reducing muscle spasticity, particularly at faster movement velocities. The key contributions of this study include the design of a compact SEA with improved torque density, the development of a knee exoskeleton equipped with a cascaded position controller, and a clinical test validating its effectiveness in alleviating spasticity in stroke patients. This study represents a significant step forward in the application of SEA for robot-assisted rehabilitation, offering a promising approach to the treatment of knee joint disorders.
Authors
- Sheng Quan Xie (ORCID: https://orcid.org/0000-0003-2641-2620)
- Lin Wu (ORCID: https://orcid.org/0000-0001-9175-1093)
- Samit Chakrabarty (ORCID: https://orcid.org/0000-0002-4389-8290)
- Benjian Zou (ORCID: https://orcid.org/0000-0002-3768-7462)
- Jiawei Liu
- Tianzhe Bao (ORCID: https://orcid.org/0000-0002-1103-2660)
- Chao Wang (ORCID: https://orcid.org/0000-0002-3238-0090)
Institutions
- Shanghai University (CN)
- University of Leeds (GB)
- Wuhan Institute of Technology (CN)
Publication Details
- Journal
- Sensors
- Published
- 2024-12-30
- DOI
- https://doi.org/10.3390/s25010153
- Citations
- 3
- Primary Topic
- Prosthetics and Rehabilitation Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- Natural Science Foundation of Shandong Province