Active Stroke Recovery System Based On Brain-computer Interaction

Stroke is seriously endangering human health due to its extremely high morbidity,mortality and morbidity.In china,the incidence of stroke is getting higher and higher.Stroke treatment and rehabilitation become a focus of increasing concern.The essence of stroke rehabilitation is how to achieve the purpose of remodeling cerebral neurons and at the same time,it can achieve the purpose of restoring motor function.Currently,the rehabilitation equipment is mainly used for limb rehabilitation,which is not effective for neurological rehabilitation,but focuses on the recovery of brain function Imagination therapy lacks the ability to recover limbs.Based on the above background,this paper developed a brain-computer interactive active stroke rehabilitation system,the main contents are as follows:(1)Proposed a kind of BCI rehabilitation system architecture based on embedded wearable.use motor imagery combination of sports imaging therapy and the advantages of traditional rehabilitation equipment,the use of embedded platforms as the data processing and control of the core,enabling patients to rehabilitation training anytime,anywhere.(2)Two kinds of feature extraction methods for online BCI interface were researched.Based on the BCI 2003 competition data and linear classifier,methods were used to classify the features of brain-computer interface.The classification accuracy,operation efficiency,Methods for comparative analysis.(3)An embedded hardware solution for brain-machine rehabilitation system based on dual-processor cooperation is proposed.The embedded processor takes on the tasks of data processing and device control,respectively,which enables the system to control and monitor the device in real time while efficiently processing EEG data.(4)Aimed at the limited resources of embedded processor,a circular queue cache mechanism for EEG processing,display and storage is proposed.The establishment of a cache queue between EEG-driven and data observers ensures that observer objects can receive data,solves the data blocking problem in multi-threaded dependency mode,and improves system robustness.At the end of this article,the rehabilitation system is tested and tested.The results show that the system is stable and available and meets the design requirements.The use of sports imaging brain-computer interface technology combined with the traditional limb rehabilitation equipment system can activate the plasticity of the brain’s own neurons,but also to ensure limb rehabilitation effect,beyond the traditional two types of rehabilitation technology has its own unique advantages,therefore,The design of brain-computer-based active stroke rehabilitation systems has the potential to become a new form of rehabilitation intervention.