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- Title
Effects of soft robotic exosuit on ambulation ability in stroke patients: a systematic review.
- Authors
Chuang, Ya-Chi; Tsai, Yu-Lin; Lin, Tony Tung-Liang; Ou-Yang, Liang-Jun; Lee, Yu-Chun; Cheng, Yuan-Yang; Liu, Chuan-Ching; Hsu, Chun-Sheng
- Abstract
Background: Robot-assisted gait training is incorporated into guidelines for stroke rehabilitation. It is a promising tool combined with conventional therapy for low ambulatory patients. The heavy weight and bulky appearance of a robotic exoskeleton limits its practicality. On the other hand, soft robotic exosuit (SRE) based on its light weight and inconspicuous property, is better tolerated by patients in daily life. The aim of this study is to review the efficacy of the SRE with regard to walking ability and biomechanical properties in stroke patients. Methods: Electronic searches were carried out in PubMed, Embase, Cochrane Library, Web of Science, and the Physiotherapy Evidence Database. Clinical trials that investigated the effectiveness of SREs on ambulation ability in patients with post-stroke hemiparesis were eligible. Qualitative data synthesis was subsequently performed. Results: Nine studies were identified as relevant, involving a total of 83 patients. For the assessment of SRE efficacy, outcome measures were walking ability and biomechanical properties. In terms of both immediate effect and training effect, SREs improved the walking speed, walking distance, peak ankle dorsiflexion angle during swing phase, peak paretic propulsion, stride length and compensated gait in stroke patients. Conclusions: SRE improved the ambulation ability of stroke patients in terms of walking ability and biomechanical properties. The small number of studies limits the generalizability of interpretation. More controlled studies with better quality are required to reach a more solid conclusion on this issue.
- Subjects
SOFT robotics; STROKE patients; ROBOTIC exoskeletons; WALKING speed; GAIT in humans; TRANSCRANIAL direct current stimulation
- Publication
BioMedical Engineering OnLine, 2023, Vol 22, Issue 1, p1
- ISSN
1475-925X
- Publication type
Article
- DOI
10.1186/s12938-023-01150-7