Research On Hand Soft Rehabilitation System Based On Brain Computer Interface And Virtual Reality

Stroke is a disease that causes brain tissue damage due to the sudden rupture of cerebral blood vessels or the inability of blood to flow into the brain due to vascular obstruction.The postoperative rehabilitation of stroke patients not only needs the passive rehabilitation activities of patients,but also needs to improve the tension of central nervous system and activate the active movement of physiological functions of various system organs,so as to improve the plasticity of damaged brain cells and finally improve the motor function of patients.Traditional rehabilitation methods and rehabilitation equipment can not solve the above problems well.The emergence of brain computer interface(BCI)and virtual reality(VR)technology provides a new way for the active rehabilitation of stroke patients and the improvement of brain plasticity.Aiming at the problems existing in the rehabilitation of stroke patients,based on the theory of stroke rehabilitation and aiming at the rehabilitation of hand function of stroke patients,this thesis combines brain computer interface and virtual reality technology with traditional rehabilitation methods and rehabilitation equipment,and studies from the aspects of passive rehabilitation training of patients' motor function,extraction of active rehabilitation intention and improvement of central nervous tension.The main research contents are as follows:1.Based on the design principle of hand functional rehabilitation system,this thesis designs and implements a hand soft rehabilitation system based on brain computer interface and virtual reality.The system can realize two rehabilitation modes of patients: active and passive.At the same time,the virtual reality environment is supplemented by real-time feedback of sound,image and animation,so as to improve the tension of patients' central nervous system and activate the physiological functions of various system organs.In view of the problems that the rigid structure of the hydraulic drive system is easy to cause secondary injury and the structural power of the pneumatic drive system is insufficient,this thesis designs and constructs the wire drive actuator(soft rehabilitation glove exoskeleton system)of the steering gear as the drive system,and uses the drive wire conduit to avoid the coupling action between fingers in the process of rehabilitation training.The design and completion of the control center and communication system provide a guarantee for the safe operation and communication of the soft rehabilitation system.2.In order to extract patients' willingness to actively recover,an EEG signal analysis method based on wavelet transform and convolutional neural network is proposed in this thesis.In order to effectively retain the characteristic information in EEG,the time-frequency map after wavelet transform is used as the input of convolutional neural network.In order to avoid the over fitting problem of convolutional neural network,a two-layer convolutional neural network for small data set is designed.3.This thesis designs and implements a virtual reality environment for hand rehabilitation training.The virtual reality environment can provide patients with four different scenes of rehabilitation training environment,and give patients timely feedback on sound and image,so as to provide patients with immersive rehabilitation experience and effectively improve the effect of rehabilitation training.4.In order to verify the feasibility and effectiveness of the system proposed in this thesis,a series of related offline,online and clinical experiments are designed and completed.The results show that the system proposed in this thesis has good effects in the extraction of active rehabilitation intention,the accuracy of system coordination and improving the effect of rehabilitation training.The feasibility,effectiveness and application of this system have been verified.