Rehabilitation training system and method for stroke patients based on EEG and virtual scene

Abstract

A rehabilitation training system and method for stroke patients based on EEG and virtual scenes, which realizes the control of virtual rehabilitation scenes through EEG signals, and adaptively adjusts the intensity of rehabilitation training in combination with EEG fatigue indicators. Completed the design of the virtual rehabilitation scene in line with the needs of rehabilitation training for stroke patients and the recommendations of rehabilitation physicians, and proposed a brain fatigue index to achieve quantitative evaluation of brain fatigue; extracted the characteristics of the surface electromyography signals under different arm movement modes to obtain the patient's movement Intent, realize the control of virtual rehabilitation scene; extract the comprehensive features of muscle fatigue and brain fatigue index to obtain the fatigue state of rehabilitation patients, realize adaptive adjustment of rehabilitation training scene, slow down or enhance the intensity of rehabilitation training, and avoid secondary damage caused by improper training . The invention has the advantages of strong safety, high intelligence, scientific training and less injury.

Description

technical field [0001] The invention relates to the technical field of rehabilitation medical equipment, in particular to a rehabilitation training system and method for stroke patients. Background technique [0002] Stroke is known as stroke, which has the characteristics of high morbidity, high mortality, high disability rate, and high recurrence rate. Therefore, the medical community lists it as one of the three major diseases that threaten human health along with coronary heart disease and cancer. . Clinical studies have shown that through timely and active rehabilitation training, most stroke patients can recover the ability to move simple limbs and even recover. Traditional stroke recovery treatment methods are based on reflex or graded motor control, mainly relying on rehabilitation physicians to manually assist patients in rehabilitation training, but the time and course of rehabilitation training cannot be guaranteed, which affects the rehabilitation effect. [00...

AI Technical Summary

Problems solved by technology

However, the above-mentioned computer-aided training system can only assist patients to complete relatively simple rehabilitation training, and it is still difficult to mobilize patients' awareness of active participation and self-confidence

At the same time, due to the lack of an evaluation strategy for the patient's physiological state, the patient is fatigued during the rehabilitation process, and is prone to accidents leading to secondary injuries, which limits the clinical application of virtual reality technology.

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