Methodological Study On Extraction Of Muscle Mobilization Order In Standard Sling Exercise Therapy

In recent years,with the advancement of technology and the development of medical devices,the postoperative recovery of patients has gradually received more and more attention both of physicians and their family members.As an emerging rehabilitation treatment and postoperative recovery method in the field of rehabilitation,Sling Exercise Therapy(S-E-T)has attracted many researchers and rehabilitation hospitals for research and application.At present,many studies have shown that continuous S-E-T has a good effect on the recovery of patients with lower back pain and cervical spondylopathy,however there is no systematic study on the activity state and regularity of muscles in the process of rehabilitation by S-E-T.The surface electromyography(sEMG)signal is an important electrophysiological signal which reflects the intention and state of muscle activity during the movement of human body.In this thesis,the sEMG signal is used to analyze the muscle mobilization order during the S-E-T.The specific research content includes:Firstly,the sEMG signals of 30 healthy subjects during the six standard suspension rehabilitation operations were collected.Based on the Teager-Kaiser Energy(TKE)operator detection method,an improved detection method was proposed.The activation of muscle during the suspension rehabilitation operations was analyzed.By analyzing 20 semi-synthetic signals,the standard deviation of the traditional TKE operator detection method is 0.386 s,however the improved detection method is only 0.089 s,which indicates that the improved method can effectively avoid false alarm and make the detection results more accurate.Secondly,for the problem of the inaccurate onset detection of slowly activated sEMG signal,Hilbert-Huang Transform was used in this study.By extracting the marginal spectrum entropy to analyze the onset time of 10 slowly activated sEMG signal,and comparing it with the improved detection method based on TKE operator,the results showed that the root mean squared error detected by the improved detection method based on TKE operator is 0.421 s,however it is 0.059 s by the method based on the marginal spectral entropy,which proved that the detection accuracy of the method based on the marginal spectrum entropy is higher.Moreover,this method did not need to set the threshold in advance,so that effectively prevented from being affected by the preset threshold.Thirdly,since the collected sEMG signal contains noise,it was filtered by the empirical mode decomposition theory.Then extract the marginal spectral entropy eigenvalue sequence combined the sliding window,and analyze the activation onset time of the sEMG signal,in order to obtain the muscle mobilization order of each subject during the operation of the S-E-T.Through statistical analysis,the standard muscle mobilization orders of the six suspension rehabilitation exercises were finally obtained,which provide evaluation reference standards for the rehabilitation physician.The above studies provide a reference method for the study of muscle activation and the analysis of muscle mobilization order,and provide a kind of evaluation index for rehabilitation clinicians,which is beneficial for physicians and coaches to evaluate the standard of action of patients or athletes during S-E-T more objectively.In addition,this research provides a theoretical basis and reference for the rehabilitation doctor to develop a more comprehensive and effective rehabilitation treatment plan for patients,and enriches the evaluation system of rehabilitation clinical simultaneously.