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Abstract
OBJECTIVE: To review the state of the art of robotic-aided hand physiotherapy for post-stroke rehabilitation, including the use of brain-machine interfaces. Each patient has a unique clinical history and, in response to personalized treatment needs, research into individualized and at-home treatment options has expanded rapidly in recent years. This has resulted in the development of many devices and design strategies for use in stroke rehabilitation.
METHODS: The development progression of robotic-aided hand physiotherapy devices and brain-machine interface systems is outlined, focussing on those with mechanisms and control strategies designed to improve recovery outcomes of the hand post-stroke. A total of 110 commercial and non-commercial hand and wrist devices, spanning the 2 major core designs: end-effector and exoskeleton are reviewed.
RESULTS: The growing body of evidence on the efficacy and relevance of incorporating brain-machine interfaces in stroke rehabilitation is summarized. The challenges involved in integrating robotic rehabilitation into the healthcare system are discussed.
CONCLUSION: This review provides novel insights into the use of robotics in physiotherapy practice, and may help system designers to develop new devices.
Original language | English |
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Pages (from-to) | 449-460 |
Number of pages | 12 |
Journal | Journal of Rehabilitation Medicine |
Volume | 49 |
Issue number | 6 |
DOIs | |
Publication status | Published - 28 Jun 2017 |
Keywords
- Journal Article
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Dive into the research topics of 'Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke'. Together they form a unique fingerprint.Projects
- 1 Finished
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Graphene Micro-sensors for Adaptive Acoustic Transduction (GMAAT)
Newton, M., Cheung, R., Mastropaolo, E., Torin, A. & Wood, G.
1/09/15 → 8/11/17
Project: Research