Hand function rehabilitation training robot system and control method thereof

Abstract

The invention discloses a hand function rehabilitation training robot system and a control method thereof. The system includes a hand rehabilitation training device, a portable Emotiv EEG (electroencephalogram) signal acquisition module, a computer and a controller, wherein the portable Emotiv EEG signal collection module collects the module collecting carrier' EEG signals and sends to the computer wirelessly; the computer conducts preprocessing, feature extraction and classification recognition on the EEG signals, and judges whether or not the carrier has a motion imagination intention index larger than a preset threshold; according to the motion imagination intention index, the controller sends a set command to control a power drive source and a thumb power drive source in the hand rehabilitation training device to perform corresponding movements. The hand function rehabilitation training robot system and the control method thereof can collect the carrier' EEG information in real time, analyze the EEG information, and feed back the carrier' brain activity state to the carrier through human-computer interaction in real time, and when the carrier' motion imagination intention reaches the threshold, the training device is controlled to perform passive training.

Description

technical field [0001] The invention belongs to the field of medical technology, in particular to a hand function rehabilitation training robot system and a control method. Background technique [0002] Stroke is characterized by high morbidity, disability and mortality. According to the current development trend, the global death toll caused by stroke will reach 6.5 million in 2015 and 7.8 million in 2030. Stroke has the characteristics of high morbidity, high mortality and high disability rate. In my country, there are 2.5 million cases of morbidity and about 1.5 million deaths every year, and the trend continues to rise every year. Among the surviving patients, three-quarters were disabled to varying degrees, and the severely disabled accounted for about 40%. Among the many sequelae, numbness and spastic paralysis can occur in the limbs. These sequelae are mainly treated by exercise, and among them, the rehabilitation of limbs, especially hand functions, is the most dif...

AI Technical Summary

Problems solved by technology

[0003] At present, the rehabilitation manipulators used in the industry mainly use surface electromyographic signal triggering and dynamic intelligent control to realize interactive biofeedback training to realize the separate movements of the patient's four fingers, thumb and wrist; if all the devices are worn, due to the size It is relatively bulky, and it is heavy when worn, and it is inconvenient to carry. The structure is complex and the mobility is poor, which prolongs the rehabilitation training time of patients.

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