Literature DB >> 30088477

Bio-inspired upper limb soft exoskeleton to reduce stroke-induced complications.

Ning Li1, Tie Yang, Peng Yu, Junling Chang, Liang Zhao, Xingang Zhao, Imad H Elhajj, Ning Xi, Lianqing Liu.   

Abstract

Stroke has become the leading cause of disability and the second-leading cause of mortality worldwide. Dyskinesia complications are the major reason of these high death and disability rates. As a tool for rapid motion function recovery in stroke patients, exoskeleton robots can reduce complications and thereby decrease stroke mortality rates. However, existing exoskeleton robots interfere with the wearer's natural motion and damage joints and muscles due to poor human-machine coupling. In this paper, a novel ergonomic soft bionic exoskeleton robot with 7 degrees of freedom was proposed to address these problems based on the principles of functional anatomy and sports biomechanics. First, the human motion system was analysed according to the functional anatomy, and the muscles were modelled as tension lines. Second, a soft bionic robot was established based on the musculoskeletal tension line model. Third, a robot control method mimicking human muscle control principles was proposed and optimized on a humanoid platform manufactured using 3D printing. After the control method was optimized, the motion trajectory similarities between humans and the platform exceeded 87%. Fourth, the force-assisted effect was tested based on electromyogram signals, and the results showed that muscle signals decreased by 58.17% after robot assistance. Finally, motion-assistance experiments were performed with stroke patients. The joint movement level increased by 174% with assistance, which allowed patients to engage in activities of daily living. With this robot, stroke patients could recover their motion functions, preventing complications and decreasing fatality and disability rates.

Entities:  

Mesh:

Year:  2018        PMID: 30088477     DOI: 10.1088/1748-3190/aad8d4

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  5 in total

1.  Logic-enabled textiles.

Authors:  Anoop Rajappan; Barclay Jumet; Rachel A Shveda; Colter J Decker; Zhen Liu; Te Faye Yap; Vanessa Sanchez; Daniel J Preston
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-22       Impact factor: 12.779

Review 2.  Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics.

Authors:  Wenzheng Heng; Samuel Solomon; Wei Gao
Journal:  Adv Mater       Date:  2022-02-25       Impact factor: 32.086

3.  AI-Optimized Technological Aspects of the Material Used in 3D Printing Processes for Selected Medical Applications.

Authors:  Izabela Rojek; Dariusz Mikołajewski; Ewa Dostatni; Marek Macko
Journal:  Materials (Basel)       Date:  2020-11-29       Impact factor: 3.623

Review 4.  Upper limb soft robotic wearable devices: a systematic review.

Authors:  Elena Bardi; Marta Gandolla; Francesco Braghin; Ferruccio Resta; Alessandra L G Pedrocchi; Emilia Ambrosini
Journal:  J Neuroeng Rehabil       Date:  2022-08-10       Impact factor: 5.208

5.  Single limb cable driven wearable robotic device for upper extremity movement support after traumatic brain injury.

Authors:  Zahra Kadivar; Christopher E Beck; Roger N Rovekamp; Marcia K O'Malley
Journal:  J Rehabil Assist Technol Eng       Date:  2021-06-02
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.