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Design of a Soft Exoskeleton with Motion Perception Network for Hand Function Rehabilitation

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12th Asian-Pacific Conference on Medical and Biological Engineering (APCMBE 2023)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 103))

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Abstract

Hand dysfunction seriously affects patients’ activities of daily life. Rehabilitation exoskeleton can effectively improve the hand function of patients and reduce the burden of their families. However, most of the existing exoskeletons lack the ability to detect the state of hands during rehabilitation, which is a potential safety risk for rehabilitation. In order to improve the safety of hand function rehabilitation training, we proposed a soft wearable exoskeleton equipped with motion perception network. The soft exoskeleton is composed of guided bending bellows actuators, and has good mechanical properties. Besides, the soft bending sensor used to build the perception network has high measurement accuracy. The results showed that the soft exoskeleton with motion perception network not only realizes the full range of finger motion, but also measures the angle of each joint during the movement process. Therefore, this device can improve the rehabilitation effect, avoid secondary injury during rehabilitation training, and meet the rehabilitation needs of patients with hand dysfunction.

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Acknowledgment

This work was supported in part by the National Key Research and Development Program of China (2021YFF0501600); Shenzhen-Hong Kong-Macau Technology Research Programme (Type C. SGDX2019081623201196); Shenzhen Local Science and Technology Development Fund guided by the Chinese Central Government (2021Szvup130).

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Authors and Affiliations

  1. Orthopedic Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China

    Xiaodong Li & Yong Hu

  2. Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, SAR, China

    Xiaodong Li, Dehao Duanmu, Junlin Wang & Yong Hu

  3. The University of Hong Kong-Shenzhen Institute of Research and Innovation, Shenzhen, China

    Xiaodong Li, Dehao Duanmu, Junlin Wang & Yong Hu

Authors
  1. Xiaodong Li
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  2. Dehao Duanmu
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  3. Junlin Wang
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  4. Yong Hu
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Corresponding author

Correspondence to Yong Hu .

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Editors and Affiliations

  1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

    Guangzhi Wang

  2. School of Life Science and Technology, University of Electronic Science and Technology, Chengdu, China

    Dezhong Yao

  3. State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China

    Zhongze Gu

  4. Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine Peking Union Medical College, Beijing, China

    Yi Peng

  5. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shanbao Tong

  6. State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, China

    Chengyu Liu

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Li, X., Duanmu, D., Wang, J., Hu, Y. (2024). Design of a Soft Exoskeleton with Motion Perception Network for Hand Function Rehabilitation. In: Wang, G., Yao, D., Gu, Z., Peng, Y., Tong, S., Liu, C. (eds) 12th Asian-Pacific Conference on Medical and Biological Engineering. APCMBE 2023. IFMBE Proceedings, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-031-51455-5_50

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  • DOI: https://doi.org/10.1007/978-3-031-51455-5_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51454-8

  • Online ISBN: 978-3-031-51455-5

  • eBook Packages: EngineeringEngineering (R0)

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