Research On Quantitative Spasticity Assessment And Wearable Device Based On Surface Electromyography

In the course of rehabilitation training for stroke patients,it is often accompanied by the appearance of spasticity.Spasticity is an important factor leading to upper limb motor dysfunction in stroke patients,which seriously affects the quality of daily life of patients,and results in a very high disability rate for stroke patients.In the clinic,the rehabilitation therapist formulates a corresponding treatment plan for heterosexual spasticity based on the spasticity assessment of patients.Therefore,realizing the quantitative assessment of upper limb spasticity has important clinical application and research value.in the field of rehabiltation,the commonly used evaluation method is based on clinical sacle;in the research of wearable devices for spasticity assessment,many wearable devices based on the combination of electrophysiological measurement and biomechanical measurement have been formed.However,there are still some shortcomings that need to be improved.On one hand,the evaluation of the scale method relies heavily on the subjective experience of the rehabilitation therapist.The evaluation results are subjective and have insufficient quantification accuracy.Therefore,an objective and quantitative approach is urgently needed.On the other hand,in the study of wearable device used for spasticity assessment,only the spasticity of a single muscle is evaluated,but the overall state of the upper limb spasticity can not be assessed.In view of the above shortcomings,this paper proposed a quantitative assessment method for upper limb spasticity based on surface electromyography(s EMG)and designed a corresponding EMG wearable device.The main research work of this paper are as follows:First,in view of the problem that the current spasticity assessment equipment on the market can only evaluate the spasticity of a single muscle,this paper designed a set of s EMG wearable device that can be used to evaluate the whole spasticity state of the upper limb.The acquired signals quality of the wearable device was compared with that of the commercial s EMG acquisition device.The results showed that there is no significant difference between the signal acquisition quality of self-made wearable devices and commercial devices.This result proved the reliability of the quality of the wearable device in collecting signals.Secondly,in view of the subjectivity and semi-quantification of clinical scale,this paper proposed a quantitative assessment method of upper limb spasticity based on s EMG signals.The s EMG signals of the passively stretched upper limbs of patients were collected and preprocessed,then the machine learning algorithm Adaptive Neuro Fuzzy Inference Network(ANFIS)was used for regression assessment on the whole spasticity of upper limb.The result shows that the evaluation performance is better than the previous ones in the algorithm experiment,and the average goodness of fit reached as high as 0.95.This result showed that the s EMG-based evaluation method can achieve objective and accurate quantitative evaluation of upper limb spasticity.Finally,based on the designed EMG wearable device and the proposed spasticity quantitative assessment algorithm,a corresponding spasticity assessment host system was developed.The host system can perform quantitative assessment of spasticity without relying on engineering personnel,and has potential application value in community rehabilitation and family rehabilitation.