Upper limb movement rehabilitation treatment method based on motor imagery

Abstract

The invention discloses an upper limb movement rehabilitation treatment method based on motor imagery, which can detect the movement intention of a patient and predict the completion degree of a motor imagery task in real time so as to evaluate the brain control ability of the patient. According to an evaluation result, self-adaptive distribution is carried out on patient brain control and system auxiliary control weights; finally, a cooperative control result is converted into a control instruction, and synchronous control is conducted on virtual upper limbs. If the patient completes the motor imagery task within the specified time, a system drives a functional electrical stimulation device to electrically stimulate the corresponding muscles of the upper limbs of the patient, so that the upper limbs of the patient can complete the action consistent with the virtual upper limbs, and the action is kept for 4 seconds; otherwise, the system does not apply electrical stimulation to the patient. Therefore, according to the method disclosed by the invention, a feasible method is provided for a stroke patient with unstable brain-computer interaction performance to participate in brain-computer interface movement rehabilitation treatment.

Description

technical field [0001] The invention relates to the field of artificial intelligence and the field of research on the application of brain-computer interface upper limb rehabilitation, in particular to a method for rehabilitation of upper limb movement based on motor imagery. Background technique [0002] Stroke is a disease mainly characterized by cerebral ischemia and hemorrhagic injury, with extremely high mortality and disability. Stroke is one of the most important fatal diseases in the world, with acute onset and high fatality rate. According to the latest survey by the World Health Organization, nearly 80% of stroke patients in China suffer from varying degrees of motor dysfunction. [0003] Currently, the forms of rehabilitation for stroke patients are still dominated by traditional passive exercise rehabilitation training and physical therapy. Among them, passive exercise rehabilitation training refers to patients performing a large number of repetitive limb movem...

AI Technical Summary

Problems solved by technology

However, there are currently challenges

For example, severe stroke patients are seriously ill and it is difficult to obtain ideal brain-computer interaction performance, so they cannot complete rehabilitation training tasks and are frustrated, and their enthusiasm for participating in treatment is also affected

Therefore, some patients may have to give up participation in rehabilitation therapy due to unsatisfactory performance

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