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Assessment And Prediction Of Lower Limb Motor Rehabilitation After Stroke Based On Brain-muscle Network Analysis

Posted on:2022-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:X L ShiFull Text:PDF
GTID:2544307154970559Subject:Engineering
Abstract/Summary:PDF Full Text Request
Limb motor function rehabilitation is the key content of stroke rehabilitation.Early prediction of the effect of sports rehabilitation can effectively evaluate the patient’s motor function potential,so as to achieve precise rehabilitation.However,the existing evaluation methods mostly rely on the subjective judgment of clinicians,and cannot fully play the role and effect of rehabilitation evaluation prediction.Constructing an evaluation method that can objectively and comprehensively reflect the brain’s motor control function is extremely important for the development of the field of rehabilitation medicine.In motion control,ankle dorsiflexion task may be a promising stroke rehabilitation assessment task.Because ankle dorsiflexion is very important for walking ability,it occurs at the beginning of the whole swing phase and the stance phase of the gait.How stroke survivors complete the task of ankle dorsiflexion will directly affect their walking ability.Therefore,this paper extracts the electrophysiological parameters of the cerebral cortex and muscle tissue in the ankle dorsiflexion of stroke patients,establishes an evaluation and prediction model,so as to achieve the objective of objectively evaluating the rehabilitation of patients’ lower limb motor function.In order to explore the interaction between brain regions during the movement of the lower limbs of stroke patients,an experimental task of alternating movement of the double ankle joints was designed.Eleven stroke patients and 10 age-matched healthy subjects were recruited.Using the phase synchronization index(PSI)analysis method,the inter-PSI and global-PSI of patients and healthy people showed significant differences in the alpha frequency band at rest and exercise(p=0.0025andp=0.0324).In addition,the patient was revisited 3 months after the first test.In the alpha and beta bands,resting and exercise states,the PSI gradually increased as the rehabilitation progressed.This also proves that PSI is expected to be an indicator of lower limb exercise rehabilitation evaluation in the ankle joint alternate movement task.In order to explore the brain-muscle interaction in lower limb exercises,an experimental task of ankle dorsiflexion of the affected lower limb was designed.The subjects are the same as above.Using corticomuscular coherence(CMC)analysis method,only the coherence between Cz and TA showed a significant difference between the patient and the healthy control group(p=0.0035).In addition,the brain topographic maps of healthy people show significant coherence with a wider area and larger values than those of patients.The results of follow-up showed that the CMC increased gradually with the patient’s recovery.This also proves that in the exercise task of ankle dorsiflexion,CMC is expected to be an indicator of lower limb exercise rehabilitation evaluation.In order to further prove that the two parameters of PSI and CMC can reflect the patient’s lower limb motor function rehabilitation,this article focuses on the analysis of the relationship between these two parameters and the clinical function scale,and at the same time further predicts the rehabilitation based on the rehabilitation evaluation..The PSI and CMC parameters in the lower limb movement state can show a significant correlation with the clinical scale,and the rehabilitation prediction model established by the two parameters is also significant(p=0.0057).The above results indicate that PSI and CMC can be used as parameters for evaluating brain synchronization and brain-muscle coupling,which provide a scientific basis and technical support for the evaluation and prediction of stroke patients’ lower limb motor rehabilitation.
Keywords/Search Tags:Stroke, Rehabilitation assessment, Phase synchronization index, Corticomuscular Coherence
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