Hand rehabilitation training device and training method in double-active-control mode

Abstract

The invention provides a hand rehabilitation training device and training method in a dual-active-control mode. The training method comprises the steps of collecting an electroencephalogram signal ofa brain motor imagery region in real time through electroencephalogram collection equipment, performing signal preprocessing, feature extraction and classification recognition, transmitting a result to a virtual scene for interaction, and controlling the movement of a model hand in the scene; and when the model hand reaches a designated position and then is in a fist-clenching state, collecting myoelectric signals of the uninjured side of a patient at the moment, performing signal preprocessing, feature extraction and classification recognition, transmitting a result to a wearable rehabilitation manipulator in an instruction mode through Bluetooth, driving the wearable rehabilitation manipulator on the affected side to grab through the myoelectric signals of the uninjured side, assisting an examinee to perform rehabilitation training, and achieving hand rehabilitation training in an electroencephalogram and myoelectricity combined mode. Through active and passive rehabilitation training, remodeling of functions of a brain damaged motor area of the examinee and the hand rehabilitation speed and rehabilitation effect are accelerated, and the initiative of hand rehabilitation trainingof a patient is improved.

Description

technical field [0001] The invention relates to the technical field of rehabilitation training, in particular to a hand rehabilitation training device and a training method with dual active control modes. Background technique [0002] Stroke is a high incidence of brain tissue damage caused by sudden rupture of blood vessels in the brain or blockage of blood vessels that prevent blood from flowing into the brain. Stroke includes ischemic and hemorrhagic stroke, which is characterized by high morbidity, high mortality and high disability rate. According to the World Health Organization, stroke has become the second leading cause of death after cancer and coronary heart disease worldwide. In recent years, China has become the world's largest stroke country, with one new stroke every 12 seconds. There are about 7 million patients in the country, and the annual growth rate is 8.7%. By 2030, the number of stroke patients in the country is expected to reach 31.77 million. It is...

AI Technical Summary

Problems solved by technology

However, due to the single rehabilitation training model and poor interaction, it cannot adapt to the rehabilitation training needs of different patients and different rehabilitation stages, that is, there are problems of poor individual adaptability and poor patient initiative

Images