Multi-modal interactive upper limb rehabilitation robot training system

Abstract

The invention discloses a multi-modal interactive upper limb rehabilitation robot training system. The system comprises an electroencephalogram (EEG) signal acquisition and processing module, a robotbody module, a comprehensive affected-limb muscle data acquisition and processing module, a rehabilitation training evaluation module and a virtual reality module, wherein the EEG signal acquisition and processing module reflects the motion intention of a patient by means of EEG signals so as to trigger rehabilitation training; the robot body module assists an affected limb to perform rehabilitation exercises; the comprehensive affected-limb muscle data acquisition and processing module acquires and obtains the comprehensive data indexes of the affected limb; the rehabilitation training evaluation module is used for processing and analyzing the comprehensive data indexes of the muscle of the affected limb so as to obtain the quantitative evaluation parameters of the rehabilitation exercisetraining of the arms of the patient; and the virtual reality module is used for displaying a virtual environment of the rehabilitation training, and interacts with the patient by means of scene display and dialogue. A multi-modal interactive upper limb rehabilitation robot training method provided by the invention realizes the safety, scientization and interestingness of the upper limb rehabilitation training.

Description

technical field [0001] The invention relates to the field of upper limb rehabilitation, in particular to a multimodal interactive upper limb rehabilitation robot training system. Background technique [0002] With economic development and improvement of living standards, the problem of population aging has become increasingly prominent. The incidence of stroke is increasing year by year, and the death and disability rate is high, which seriously endangers human health. The reconstruction and rehabilitation of motor function of patients after stroke has attracted widespread attention. High-dose exercise rehabilitation plays a key role in the recovery of stroke patients, but the number of stroke patients is too large, and there is a serious shortage of rehabilitation therapists. Traditional artificial physical therapy cannot meet the huge rehabilitation needs. At the same time, the existing rehabilitation training lacks the records of objective data, and there is no quantitat...

AI Technical Summary

Problems solved by technology

Large-dose exercise rehabilitation plays a key role in the recovery of stroke patients, but the number of stroke patients is too large, and rehabilitation therapists are severely lacking. Traditional artificial physical therapy cannot meet the huge rehabilitation needs.

At the same time, the existing rehabilitation training lacks the records of objective data, there is no quantitative evaluation mechanism, and it is impossible to provide effective feedback and improve the training plan, which affects the training effect

In addition, due to the single repetition of rehabilitation exercises, patients often feel boring, resulting in poor rehabilitation enthusiasm or even non-cooperation.

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