Finger rehabilitation training system and control method

Abstract

The invention discloses a system for finger rehabilitation training and a control method. The system includes a device for finger rehabilitation training, a portable Emotiv EEG signal acquisition module, a computer and a controller, and the portable Emotiv EEG signal acquisition module collects the EEG of the carrier. The signal is then sent to the computer in a wireless manner; the computer performs preprocessing, feature extraction, and classification and identification on the EEG signal, and judges whether the carrier has a motor imagery intention index exceeding a set threshold; the controller according to the motor imagery intention index, Send a setting command to control the power drive source in the device for finger rehabilitation training to perform corresponding actions. The invention can collect the EEG information of the carrier in real time, analyze the EEG information, feed back the brain activity state of the carrier to the carrier in real time through human-computer interaction, and control the training when the motor imagery intention of the carrier reaches the threshold. Use the device for passive training.

Description

technical field [0001] The invention belongs to the field of medical technology, in particular to a system and control method for finger rehabilitation training. 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. my country is also a country with a high incidence of stroke. One person has a stroke every 12 seconds, and one person dies from a stroke every 21 seconds. There are 2.5 million cases and 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 about 40% were severely disabled. Among the numerous sequelae, the incidence of hemiplegia is the highest, and the rehabilitation of limbs, especially hand functions, is the most difficult. [0003] At present, the rehabilitation manipulato...

AI Technical Summary

Problems solved by technology

[0003] At present, the rehabilitation manipulators used in the industry mainly use surface electromyography signals to trigger and dynamic intelligent control to realize interactive biofeedback training to realize the individual movements of the patient's four fingers, fingers and wrists; if all the devices are worn, the weight It is heavy, it is inconvenient to carry, and it will affect the patient's rehabilitation exercises. Moreover, a certain finger in the hand function recovery system may need to be strengthened for recovery, and there is no need to wear multiple recovery systems at the same time. In addition, except for brain rehabilitation exercises, other fingers Muscle recovery is also the ability to strengthen a muscle by performing exercises

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