Research On Active Rehabilitation Technology Based On Motor Imagery And Action Observation

Stroke is a disease with high morbidity and disability.Brain nerve damage causes more than 70% of patients to have varying degrees of limb motor dysfunction.Routine rehabilitation training needs to be carried out under the guidance of professional rehabilitation physicians.It is a complicated,long training cycle and mostly passive training,therefore sets obstacles for patients’ active participation.Motor Imagery(MI)is a typical active rehabilitation technology,combined with Brain Computer Interface(BCI),it has new application prospects.However,there are some problems with MI,such as relatively higher requirements on the imagination of patients,obvious individual differences,the inconsistency between the imagery task and the actual rehabilitation movements.In order to solve these problems,this thesis conducts research the motion observation based on mirror neuron theory(Action Observation,AO)and video-guided motion imaging(Motor Imagery with Action Observation,O-MI),and designs an active rehabilitation experimental platform based on MI and AO.To research on the effect of exercise rehabilitation training using active methods of sports imagination and sports observation,as well as real-time monitoring and analysis of brain activity.By analyzing and comparing the activation effects of the three paradigms on the brain motor area nerves,exploring the connections and differences between MI,AO,and O-MI,the thesis provides new ideas and novel methods for the rehabilitation and evaluation of cerebral stroke patients with limbs dysfunction.In this thesis a BCI rehabilitation platform based on AO and MI was built.Including experimental induction module,offline analysis module and online analysis module.The experimental induction module includes a standard rehabilitation action video library created in cooperation with professional physicians,which can select the rehabilitation action paradigm according to the requirements of the rehabilitation experiment.Offline analysis can preprocess EEG data,do qualitative and quantitative analysis on the data,extract features of the data,and carry out classified models training based on the data.Online analysis can read EEG data in real time,and reflect the degree of brain motor nerve activation from multiple angles through visualization.This thesis analyzes the offline and online experimental data of the three experimental modes of MI,AO,and O-MI.The results show that O-MI can strengthen the brain’s motor intention,and enhance the activation of the brain’s motor nerves,and obtain a better recovery effect.At the same time,the function and application test results of the experimental platform have also verified the good performance and practical value of the system rehabilitation training,feedback and evaluation,laying a solid foundation for future clinical trials and applications.