Design Of Hand Rehabilitation System Combined With Motor Imagination

Stroke,with its high morbidity and high disability rate,has become a serious disease that threatens human health today.The vast majority of stroke patients have hand movement dysfunction,and the rehabilitation of stroke patients requires the cooperation of medical staff and family members,which imposes a great burden on patients and family members.The patient’s hand rehabilitation requires the joint recovery of the hand muscle and the function of the nerves of the nerves.If the patient’s active motor intention is stimulated,the damaged motor nerve repair is promoted,and the dormant neurons in the unaffected area are awakened to reconstruct the neural pathway.It will be able to accelerate its own healing process and improve the healing effect.The Brain-computer interface(BCI)system based on Motor imagery(MI)is applied to the rehabilitation of stroke patients,which can convert the patient’s motor intention into a control command for external devices,and stimulate the patient’s active movement intentions.Functional electrical stimulation transmits artificial control signals to nerve cells by generating electrical stimulation,and the muscle fibers are contracted by the action of external currents to obtain the effect of exercise,which can promote the repair of damaged motor nerves.For hand rehabilitation training for stroke patients,this thesis combines the two to design a stroke rehabilitation system based on motor imagery EEG control.In order to adapt to different degrees of stroke patients,the system uses three kinds of motion imaging imaginary EEG signals.In order to provide a better rehabilitation program for stroke patients,this paper proposes a control strategy.Contains four control methods that can be selected for different types of patients.The system consists of two core parts: a functional electrical stimulation device and a rehabilitation system software:(1)According to the principle of electrical stimulation,a functional electrical stimulation device with liquid crystal display function is designed.The functional electrical stimulation device can realize multi-channel independent output,which can be used offline or can be used online through the serial port to receive control commands.By detecting the patient’s EEG signal in real time,the patient’s tendency to exercise is identified,and then the functional electrical stimulation device is controlled to stimulate the patient’s hand muscle to achieve the purpose of active rehabilitation.(2)The hand rehabilitation system software was designed.The hand rehabilitation system software is mainly managed in the process of rehabilitation training,including rehabilitation process management,electrical stimulation device control,algorithm implementation and other functions.Three kinds of dynamic motion imaging offline experiments were designed.The EEG and EMG signals were collected during off-line experiments.The EMG signals verified the correctness of the experimental design.The accuracy of the three-power motion imaging EEG signals was 72.4%.It shows that the three-magnitude motion imaging EEG signal is separable.On-line experimental research was carried out on the basis of offline experiments.The results show that the four control methods under the control strategy can achieve the expected goals.This paper has a positive significance in the design of rehabilitation system based on motion imaging,especially to improve the adaptability and robustness of the motor imaging brain-computer interface system.It proves that the motor imaging brain-computer interface system is in stroke patients.The feasibility of rehabilitation training plays a role in exploring future clinical applications.