The control system research of the brain controlled medical lower limb exoskeleton

Zhao, Yanjun; Jia, Bingqi; Liu, Wenlong; Ge, Wenqing; Dong, Ruichun

doi:10.3233/jcm-191004

JCM

2019

DOI: 10.3233/jcm-191004

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The control system research of the brain controlled medical lower limb exoskeleton

Yanjun Zhao¹,

Bingqi Jia²,

Wenlong Liu³

et al.

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Cited by 2 publications

References 7 publications

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Image recognition based on Boltzmann machine algorithm

Li¹

2022

JCM

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Due to the influence of recognition parameters, image recognition has low recognition accuracy, long recognition time and large storage cost. Therefore, an automatic image recognition method based on Boltzmann machine is proposed. Based on threshold method and fuzzy set method, image malformation correction is performed. The mean filter and median filter are combined to eliminate the influence of image filtering, and the pre-processing of image is completed by using the fuzzy enhancement of image. Based on the restricted Boltzmann method, the network model is dynamically evolved, and the identification parameters of each shape and contour are obtained. Different shapes and contours are classified and recognized. Simulation results show that image recognition method based on human-computer interaction has high recognition ability, shortens the time cost and greatly reduces the space needed for node storage.

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Image recognition based on Boltzmann machine algorithm

Li¹

2022

JCM

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Knee Exoskeletons Design Approaches to Boost Strength Capability: A Review

et al. 2021

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There are different devices to increase the strength capacity of people with walking problems. These devices can be classified into exoskeletons, orthotics, and braces. This review aims to identify the state of the art in the design of these medical devices, based on an analysis of patents and literature. However, there are some difficulties in processing the records due to the lack of filters and standardization in the names, generating discrepancies between the search engines, among others. Concerning the patents, 74 patents were analyzed using search engines such as Google Patents, Derwent, The Lens, Patentscope, and Espacenet over the past ten years. A bibliometric analysis was performed using 63 scientific reports from Web of Science and The Lens in the same period for scientific communications. The results show a trend to use the mechanical design of exoskeletons based on articulated rigid structures and elements that provide force to move the structure. These are generally two types: (a) elastic elements and (b) electromechanical elements. The United States accounts for 32% of the technological patents reviewed. The results suggest that the use of exoskeletons or orthoses customized to the users’ needs will continue to increase over the years due to the worldwide growth in disability, particularly related to mobility difficulties and technologies related to the combined use of springs and actuators.

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The control system research of the brain controlled medical lower limb exoskeleton

Cited by 2 publications

References 7 publications

Image recognition based on Boltzmann machine algorithm

Image recognition based on Boltzmann machine algorithm

Knee Exoskeletons Design Approaches to Boost Strength Capability: A Review

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