Virtual reality rehabilitation training method and system based on surface myoelectricity and depth image

A virtual reality and rehabilitation training technology, applied in the field of rehabilitation engineering, can solve the problems of inconspicuous hand features, limit the application and effect of rehabilitation training, and cannot accurately identify the intention of hand movements of residual limbs, so as to enhance interactivity and fun. , Improve rehabilitation effect and efficiency, reduce training burden
CN110298286BActive Publication Date: 2021-04-30SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Publication Date
2021-04-30

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Abstract

The invention provides a virtual reality rehabilitation training method and system based on surface electromyography information and depth image information for forearm amputee patients. The method includes: collecting the residual limb electromyographic information of the amputee patient, and using a trained gesture recognition model to obtain the palm action category corresponding to the electromyographic information; meanwhile, obtaining the residual limb position and posture information of the amputee patient through a depth camera, and based on the The posture information identifies the arm motion category following the palm motion; finally, based on the palm motion category and the arm motion category, a control instruction for controlling the virtual hand motion in the virtual environment is generated to assist rehabilitation training. The method and the corresponding system of the present invention can integrate surface electromyography information and depth image information, improve the effect and efficiency of rehabilitation training for forearm amputee patients, and help patients adapt to prosthetic use as soon as possible.
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Description

technical field

[0001] The invention relates to the technical field of rehabilitation engineering, in particular to a virtual reality rehabilitation training method and system based on surface electromyography information and depth image information. Background technique

[0002] According to statistics, the number of disabled people in mainland China has reached more than 60 million, including about 18 million to 24 million people with upper limb disabilities, and more than 4 million people with forearm amputation. Installing artificial limbs can make up for the psychological trauma of patients to a certain extent and improve the quality of life of patients. Myoelectric signal control prosthesis is a safe and non-invasive control method. For patients with myoelectric prosthetics, specific muscle training at the amputation site can achieve the purpose of activating the muscles at the amputation site, promote blood circulation at the site, and improve muscle quality. It can ...

Claims

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