Active rehabilitation training method for bilateral limb coordinated movement of hemiplegic patient

Abstract

The invention discloses an active rehabilitation training method for the bilateral limb coordinated movement of a hemiplegic patient. The active rehabilitation training method comprises the steps that active movement electroencephalogram, healthy and affected side muscle signals, healthy and affected side muscle signals and healthy and affected side movement trajectory signals of the hemiplegic patient are acquired; movement prediction is performed by using a deep learning method according to the acquired signals, and a movement prediction result is obtained; and the obtained movement prediction result is coordinated and controlled and then input to an affected side joint movement control system. The active rehabilitation training method adopts the deep learning method to perform movement prediction, and the movement prediction result is coordinated and controlled and then input into the affected side joint movement control system, so that the affected side joint movement control system controls the affected side joint and the healthy side joint to maintain coordinate and unified movement, and the effect of rehabilitation training for the hemiplegic patient is greatly improved. The active rehabilitation training method for the bilateral limb coordinated movement of the hemiplegic patient can be widely used in the field of computer medical application

Description

technical field [0001] The invention relates to the field of computer medical applications, in particular to an active rehabilitation training method for the coordinated movement of bilateral limbs of hemiplegic patients. Background technique [0002] Hemiplegia, also known as hemiplegia, is a disability in which the motor function of the brain is impaired, resulting in movement disorders in one limb and seriously affecting the quality of life. Sports rehabilitation training for hemiplegic limbs helps to reshape the motor nerve function of the patient's brain and restore the motor function of the impaired limb, so that the patient can return to normal life as soon as possible. [0003] In clinical rehabilitation, motor relearning therapy, mirror exercise therapy, and visual stimulation and feedback therapy are all effective treatments for the motor function rehabilitation of hemiplegic patients. However, due to the difficulty in rehabilitation of limb motor function in pati...

AI Technical Summary

Problems solved by technology

However, due to the difficulty in rehabilitation of limb motor function in patients with hemiplegia, it is difficult to achieve an ideal rehabilitation effect with a single rehabilitation training technique. At present, most researchers tend to combine multiple treatment techniques to improve the training effect. Therefore, existing Bilateral limb coordinated movement rehabilitation training methods usually use limb posture recognition sensors to identify the movement information of the healthy limb to drive the mechanical device of the affected limb to drive the affected limb to move. However, the existing technology cannot coordinate and unify the movement information of the healthy side with the movement intention of the affected side. It makes the movement of both sides of the healthy patient uncoordinated, and it is difficult to achieve a good rehabilitation training effect

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