基于三维运动和肌电信号的肩关节功能分析

发布时间：2018-05-13 16:12

本文选题：肩关节功能分析 + 肩周炎　；参考：《天津大学》2012年硕士论文

【摘要】：肩关节疼痛和运动障碍严重影响着人们的日常生活和工作,然而肩关节本身复杂的结构和多样的运动,使肩关节的相关研究面临诸多困难。正确和客观的判断患者肩关节疾病的程度,分析治疗的效果和比较不同的治疗方法对于临床医学有着十分重要的意义。本研究旨在探索肩关节功能分析方法,以肩周炎患者为具体研究对象,分别从三维运动学和表面肌电两个方面讨论肩关节运动和肩部肌肉的功能状态。为肩部生理和临床医学的研究提供一定的借鉴和参考。 5名受试者均来自天津中医药大学骨科门诊,在其接受中医手法治疗过程中,分五次采集其肩部运动和肌电数据。分析肩周炎患者康复过程中,其肩部运动特征和肌肉功能状态的变化。本研究针对肩部运动特点,用三维运动捕捉系统分别采集肩部在矢状面。冠状面。水平面的运动数据,考察肩肩部活动度的变化并进行了统计分析。同时记录了和肩关节运动相关的胸大肌。肱二头肌。三角肌。冈下肌。背阔肌。斜方肌。肱三头肌七块肌肉的肌电信号。本研究对肌电信号进行预处理和参数特征提取,并分析了肩关节运动对肌电特征的影响。为观察患侧康复情况,且降低个体差异,采取同一对象患侧/健侧的归一处理方法;在肌电信号特征提取中,除时域。频域常规方法外,根据肌电信号在频谱上能量分布不均这一情况,本研究提出了用熵值观察肌电变化,同时运用了带谱熵和小波包熵,均从不同角度反映了患侧肌肉恢复情况。此外,本研究还从非线性角度考察了肌电参数,发现了康复过程中肌肉状态变化的一些规律。经研究结果分析,在肩周炎患者康复过程中,患侧肩关节活动度增大,相关肌肉募集放电单元的能力和抗疲劳性均有所增强,肌肉功能状态趋近于健侧。在应用的肌电分析参数中,时域特征值均方根能说明肌电能量变化情况,小波包熵可以反映患侧恢复并接近健侧的水平,非线性参数复杂度对肌肉疲劳较敏感,同时分析发现,背阔肌及冈下肌状态变化较其他肌肉偏小,说明肩周炎对这两块肌肉影响较弱。本文结论可用于观察患者病情及评估治疗效果,帮助提出针对性治疗方案。
[Abstract]:Shoulder pain and dyskinesia seriously affect people's daily life and work. However, shoulder joint itself is faced with many difficulties due to its complex structure and various movements. It is very important for clinical medicine to correctly and objectively judge the degree of shoulder disease, analyze the effect of treatment and compare different treatment methods. The purpose of this study was to explore the method of functional analysis of shoulder joint, and to discuss the motion of shoulder joint and the functional state of shoulder muscles from three dimensional kinematics and surface electromyography, taking the patients with periarthritis of shoulder as the specific research object. To provide some reference for the research of shoulder physiology and clinical medicine. The five subjects were all from orthopedic outpatient department of Tianjin University of traditional Chinese Medicine. In the course of the treatment of traditional Chinese medicine manipulation, the shoulder movement and electromyography data were collected five times. The changes of shoulder motion and muscle function in patients with periarthritis of shoulder were analyzed. According to the characteristics of shoulder motion, three-dimensional motion capture system was used to collect the shoulder in sagittal plane. Coronal plane The motion data of horizontal plane were used to investigate the change of shoulder and shoulder motion and the statistical analysis was carried out. The pectoralis major associated with shoulder motion was also recorded. Biceps brachii Deltoid muscle Infraspinatus muscle Latissimus dorsi Trapezius muscle The electromyography of seven muscles of the triceps. In this study, EMG signals were preprocessed and parameters extracted, and the effects of shoulder motion on EMG characteristics were analyzed. In order to observe the rehabilitation of the affected side and reduce the individual difference, the method of normalizing the affected side and the healthy side of the same object was adopted, and the time domain was removed in the feature extraction of the EMG signal. In addition to the conventional methods in frequency domain, according to the uneven energy distribution of EMG signals in the frequency spectrum, this study proposed to observe the changes of EMG with entropy values, and used band entropy and wavelet packet entropy to reflect the recovery of affected muscles from different angles. In addition, the myoelectric parameters were investigated from the nonlinear point of view, and some rules of muscle state change during rehabilitation were found. The results showed that during the rehabilitation of the patients with periarthritis of shoulder, the range of shoulder joint motion increased, the ability and fatigue resistance of the related muscle recruitment discharge units increased, and the muscle function state approached to the healthy side. In the applied EMG analysis parameters, the time domain eigenvalue RMS can explain the change of EMG energy, the wavelet packet entropy can reflect the recovery of affected side and close to the level of healthy side, and the nonlinear parameter complexity is sensitive to muscle fatigue. At the same time, it is found that the wavelet packet entropy can reflect the recovery of the affected side and approach the level of the healthy side. The changes of latissimus dorsi and infraspinal muscles were smaller than those of other muscles, indicating that the effects of shoulder periarthritis on these two muscles were weak. Conclusion it can be used to observe the patient's condition and evaluate the therapeutic effect.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：R318.0

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