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

A virtual reality and rehabilitation training technology, applied in the field of rehabilitation engineering, can solve the problems of limiting the application and effect of rehabilitation training, inconspicuous hand characteristics, and inability to accurately identify the intention of the hand movements of the residual limb, so as to improve the rehabilitation effect and efficiency. The effect of enhancing interactivity and fun, and reducing training burden
CN110298286AActive Publication Date: 2019-10-01SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Publication Date
2019-10-01

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Abstract

The invention provides a virtual reality rehabilitation training method and system based on surface myoelectricity information and depth image information for forearm amputation patients. The method comprises: collecting residual limb myoelectricity information of an amputation patient, and obtaining a palm action category corresponding to the myoelectricity information through a trained gesture recognition model; meanwhile, acquiring the stump pose information of the amputation patient through a depth camera, and identifying the arm action category following the palm action based on the poseinformation; and finally, based on the palm action category and the arm action category, generating a control instruction for controlling a virtual hand action in a virtual environment so as to assistrehabilitation training. According to the method and the corresponding system, the surface myoelectricity information and the depth image information can be fused, the rehabilitation training effectand efficiency of the forearm amputation patient are improved, and the patient can be helped to adapt to the artificial limb 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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