Thumb rehabilitation training system and control method

Abstract

The invention discloses a thumb rehabilitation training system and a control method. The system comprises a thumb rehabilitation training device, a portable Emotiv electroencephalogram signal acquisition module, a computer and a controller; the portable Emotiv electroencephalogram signal acquisition module acquires electroencephalogram signals of a carrier and then sends the electroencephalogram signals to the computer in a wireless mode; the computer carries out preprocessing, feature extraction and classification and recognition on the electroencephalogram signals, and judges whether the carrier has a motor imagery intention index exceeding a set threshold; the controller sends a setting command according to the motor imagery intention index, and controls a thumb power driving source in the thumb rehabilitation training device to execute a corresponding action. By means of the system, electroencephalogram information of the carrier can be acquired in real time and analyzed, the brain activity state of the carrier is fed back to the carrier in real time through human-computer interaction, and when the motor imagery intention of the carrier reaches the threshold, a training device is controlled to conduct passive training.

Description

technical field [0001] The invention belongs to the field of medical technology, in particular to a thumb rehabilitation training 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 reached 6.5 million in 2015 and will reach 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 manip...

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 separate movements of the patient's four fingers, thumb and wrist; 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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