Upper limb both-arm rehabilitation training human-computer interaction method and system

Abstract

The invention discloses an upper limb both-arm rehabilitation training human-computer interaction method. The upper limb both-arm rehabilitation training human-computer interaction method comprises atraining scene is selected and displayed; a control command is sent according to the training scene; space positions and rotating angle data of upper limb shoulder joints, elbow joints and wrist joints of a patient under an overall coordination system, and force application data of tail ends of upper limbs are collected in real time; the collected data are resolved and calculated, the upper limb movement trace, the joint angles of shoulders, elbows and wrists, and patient tail end force application data in the upper limb training process of the patient are obtained; and the upper limb movementtrace is displayed in the virtual scene in real time, the patient is guided to conduct track training, and rehabilitation condition of the patient upper limbs is judged through comparison of the training scene and the virtual scene. In addition, the invention further provides an upper limb both-arm rehabilitation training human-computer interaction system, the purpose is that the patient is helped to conduct postoperative upper limb rehabilitation training, targeted training is conducted on the patient conveniently, and the training effect can be improved.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a human-computer interaction method and system for upper limb double-arm rehabilitation training. Background technique [0002] In the field of rehabilitation medicine, postoperative upper limb rehabilitation of stroke patients is generally performed by physical therapists and patients through one-on-one direct long-term physical contact, and the physical therapists assist patients in body movements, additional language communication, drug treatment, etc., and train patients to perform A large number of repeated repetitive movements gradually stimulate the damaged brain nerves and repair the brain nerves. This kind of repetitive one-to-one training has low efficiency and high cost, and is not suitable for home operation. Moreover, it is not easy for the therapists to keep abreast of the degree and effect of their training, and it is impossible to organically combine func...

AI Technical Summary

Problems solved by technology

This kind of repetitive one-on-one training is inefficient, expensive, and not suitable for home use

Moreover, it is not easy for the therapists to keep abreast of the degree and effect of their training, and it is impossible to organically combine functional evaluation, exercise therapy and psychotherapy

Secondly, the training process is monotonous and boring, which is not conducive to prompting patients to actively participate in the treatment, making patients lose confidence in rehabilitation

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