A novel wrist rehabilitation exoskeleton using 3D-printed multi-segment mechanism

Yang, Shiqi; Li, Min; Wang, Jiale; Wang, Tianci; Liang, Ziting; Xie, Jun; Xu, Guanghua

doi:10.1109/embc46164.2021.9630996

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The wrist exoskeleton is a soft-rigid combined assistance device designed in a prior study (Yang et al, 2021 ) and characterized by portability, weighing only 268 g without circuits and battery. Another advantage is the adaptable soft actuator, which minimizes the risk of secondary injury.…”

Section: Methodsmentioning

confidence: 99%

A low-cost and portable wrist exoskeleton using EEG-sEMG combined strategy for prolonged active rehabilitation

Yang

Wang

et al. 2023

Front. Neurorobot.

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IntroductionHemiparesis is a common consequence of stroke that severely impacts the life quality of the patients. Active training is a key factor in achieving optimal neural recovery, but current systems for wrist rehabilitation present challenges in terms of portability, cost, and the potential for muscle fatigue during prolonged use.MethodsTo address these challenges, this paper proposes a low-cost, portable wrist rehabilitation system with a control strategy that combines surface electromyogram (sEMG) and electroencephalogram (EEG) signals to encourage patients to engage in consecutive, spontaneous rehabilitation sessions. In addition, a detection method for muscle fatigue based on the Boruta algorithm and a post-processing layer are proposed, allowing for the switch between sEMG and EEG modes when muscle fatigue occurs.ResultsThis method significantly improves accuracy of fatigue detection from 4.90 to 10.49% for four distinct wrist motions, while the Boruta algorithm selects the most essential features and stabilizes the effects of post-processing. The paper also presents an alternative control mode that employs EEG signals to maintain active control, achieving an accuracy of approximately 80% in detecting motion intention.DiscussionFor the occurrence of muscle fatigue during long term rehabilitation training, the proposed system presents a promising approach to addressing the limitations of existing wrist rehabilitation systems.

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Section: Methodsmentioning

confidence: 99%

A low-cost and portable wrist exoskeleton using EEG-sEMG combined strategy for prolonged active rehabilitation

Yang

Wang

et al. 2023

Front. Neurorobot.

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“…Exoskeletons for wrist rehabilitation still have disadvantages, such as heavy weight, an uncertain trajectory of movement, etc. However, stable training of wrist rehabilitation in three degrees of freedom with compact and lightweight device characteristics can be achieved [29]. Exoskeletons can also be used by patients who have lost hand function due to burns [30].…”

Section: Development Of Technologies and Applicationsmentioning

confidence: 99%

Overview of 3D Printed Exoskeleton Materials and Opportunities for Their AI-Based Optimization

et al. 2023

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An aging population, the effects of pandemics and civilization-related conditions, and limited leapfrogging in the number of rehabilitation and physiotherapy specialists are driving demand for modern assistive technologies, especially upper and lower limb exoskeletons. Patient-tailored devices are a rapidly developing group of technologies, both from a biomechanics, informatics, and materials engineering perspective. In particular, the technological development of 3D printing, the expanding range of available materials and their properties (including contact with living tissue and bodily fluids), and the possibility of selecting and optimizing them using artificial intelligence (including machine learning) are encouraging the emergence of new concepts, particularly within the Industry 4.0 paradigm. The article provides an overview of what is available in this area, including an assessment of as yet untapped research and industrial and, in part, clinical potential.

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A State of Art Overwiew on Wrist Rehabilitation Exoskeletons

Crăciun

Lovasz

Mateaș

et al. 2023

Mechanisms and Machine Science

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A novel wrist rehabilitation exoskeleton using 3D-printed multi-segment mechanism

Cited by 4 publications

References 8 publications

A low-cost and portable wrist exoskeleton using EEG-sEMG combined strategy for prolonged active rehabilitation

A low-cost and portable wrist exoskeleton using EEG-sEMG combined strategy for prolonged active rehabilitation

Overview of 3D Printed Exoskeleton Materials and Opportunities for Their AI-Based Optimization

A State of Art Overwiew on Wrist Rehabilitation Exoskeletons

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