Steady state visually evoked potential+motor imagery (SSVEP+MI) brain-computer interface-based stroke rehabilitation training system and method

Abstract

The invention relates to a steady state visually evoked potential+motor imagery (SSVEP+MI) brain-computer interface-based stroke rehabilitation training system and method. The system comprises a computer (1), an electroencephalogram cap (2), a mechanical arm (3), augmented reality (AR) goggles (4), an electrical stimulation feedback instrument (5), a rehabilitation pneumatic hand (6), an SSVEP stimulation interface (7), an SSVEP online training unit (8), an MI interactive interface (9), an MI offline training unit (10) and an MI online training unit (11). The method comprises the following steps: in first-stage rehabilitation training, an SSVEP brain-computer interface is combined with AR and the mechanical arm, SSVEP-EEG is decoded through a filter bank canonical correlation analysis (FBCCA) algorithm, which can help a patient to express intention and assist living, and meanwhile, the attention and cognitive ability of the patient can be trained, thereby laying a foundation for second-stage rehabilitation training. In the second-stage rehabilitation training, the MI brain-computer interface is combined with the AR and rehabilitation peripherals, MI-EEG is decoded through the FBCSP algorithm, a closed-loop rehabilitation loop can be formed through multiple feedback modes, and functional control connection between external limbs and the brain is repaired to help the patient to recover a limb movement function.

Description

technical field [0001] The invention relates to the technical field of bioelectrical signal processing, in particular to a stroke rehabilitation training system and method based on SSVEP+MI brain-computer interface. Background technique [0002] Stroke, also known as apoplexy, is the leading cause of death and disability among adults in my country. It has five characteristics: high morbidity, high disability, high mortality, high recurrence, and high economic burden. According to the "China Stroke Prevention Report 2019", there are 13.18 million stroke patients over the age of 40, and more than 1.9 million people die of stroke every year. Modern rehabilitation theory and practice have proved that stroke patients can effectively recover motor function of affected limbs if they carry out rehabilitation training in time. After the vital signs of stroke patients are stable, rehabilitation training should be carried out as soon as possible. However, it is difficult for patients ...

AI Technical Summary

Problems solved by technology

After the vital signs of stroke patients are stable, rehabilitation training should be carried out as soon as possible. However, it is difficult for patients to express their intentions and mobility in the early stage of rehabilitation training, which increases the difficulty of rehabilitation training.

In addition, most of the current stroke rehabilitation training equipment is passive rehabilitation, which not only consumes a lot of manpower, lacks fun and active participation of patients, but also lacks the direct participation of the brain motor nervous system, which cannot effectively help stroke patients. recover

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