A Home-Based Self-Powered Rehabilitation System With Variable Stiffness Mechanism
Home-based rehabilitation with robot assistance may significantly reduce therapist workload and facilitate post-stroke patient training. However, the lack of real-time therapist supervision requires higher safety, ease of use, and training efficiency of the rehabilitation system. Therefore, active r...
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| Main Authors: | Ke Shi, Yingchen Gao, Maozeng Zhang, Lifeng Zhu, Aiguo Song |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11048644/ |
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