A Lower Limb Rehabilitation Robot Based on Bidirectional Neural Interface

Abstract

The invention relates to a lower limb rehabilitation robot based on a bidirectional neural interface, which belongs to the technical field of medical rehabilitation and solves the problem of low active participation of patients in existing rehabilitation robots. Including: EEG signal system, which collects the patient's EEG signal, identifies the patient's movement intention and rehabilitation training needs, and converts the EEG signal into a motor command and outputs it to the lower limb movement system; the EMG signal system is used to collect the patient's lower limb The EMG signal is analyzed and processed, and the movement state of the lower limbs is fed back to the lower limb movement system and the EEG signal system; the lower limb movement system generates gait according to the received movement instructions, and guides the patient to move the lower limbs; at the same time, receives all According to the motor state of the lower limbs fed back by the EMG signal system, a moderate intervention is performed on the movement of the affected limb. The present invention utilizes a closed-loop human-machine neural information perception bidirectional loop to realize efficient interaction between patients and rehabilitation robots, improve the initiative of patients to participate, and improve the efficiency of exercise rehabilitation.

Description

technical field [0001] The invention relates to the technical field of medical rehabilitation, in particular to a lower limb rehabilitation robot based on a bidirectional neural interface. Background technique [0002] At present, the lower limb rehabilitation robot represents the development trend of this type of product in terms of application and market, and its development has entered a bottleneck stage. At this stage, domestic and foreign equipment use rehabilitation exoskeleton to guide patients to perform basic natural gait training, which can basically meet the needs of patients. Rehabilitation therapists do most of their physical substitution work, which is limited by the scope of automated rehabilitation equipment, and can only obtain the effect of passive training, without the connotation of the external dynamic mechanism of neurorehabilitation. [0003] At present, my country is in the initial stage of developing rehabilitation medical equipment, and the research...

AI Technical Summary

Problems solved by technology

[0005] In view of the above analysis, the present invention aims to provide a lower extremity rehabilitation robot based on a two-way neural interface, to solve the problem that existing rehabilitation robots adopt a passive training method, the patient’s active participation is not high, the active contraction of the ipsilateral muscles is insufficient, and muscle status monitoring Missing, the mismatch between training gait and mechanical environment in traditional sports rehabilitation

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