Bern University of Applied Sciences, Department of Health Professions, Division of Physiotherapy, Bern, Switzerland.
Vrije Universiteit Brussel, Faculty of Physical Education and Physiotherapy, Brussels, Belgium.
PLoS One. 2018 Nov 2;13(11):e0206549. doi: 10.1371/journal.pone.0206549. eCollection 2018.
Surface electromyography is often used to assess muscle activity and muscle function. A wavelet approach provides information about the intensity of muscle activity and motor unit recruitment strategies at every time point of the gait cycle. The aim was to review papers that employed wavelet analyses to investigate electromyograms of lower extremity muscles during walking and running. Eleven databases were searched up until June 1st 2017. The composition was based on the PICO model and the PRISMA checklist. First author, year, subject characteristics, intervention, outcome measures & variables, results and wavelet specification were extracted. Eighteen studies included the use of wavelets to investigate electromyograms of lower extremity muscles. Three main topics were discussed: 1.) The capability of the method to correctly assign participants to a specific group (recognition rate) varied between 68.4%-100%. 2.) Patients with ankle osteoarthritis or total knee arthroplasty presented a delayed muscle activation in the early stance phase but a prolonged activation in mid stance. 3.) Atrophic muscles did not contain type II muscle fiber components but more energy in their lower frequencies. The simultaneous information of time, frequency and intensity is of high clinical relevance because it offers valuable information about pre-and reflex activation behavior on different walking and running speeds as well as spectral changes towards high or low frequencies at every time point of the gait cycle.
表面肌电图常用于评估肌肉活动和肌肉功能。小波分析方法可提供步态周期每个时间点的肌肉活动强度和运动单位募集策略的信息。本研究旨在综述使用小波分析来研究步行和跑步时下肢肌肉肌电图的文献。截至 2017 年 6 月 1 日，共检索了 11 个数据库。研究的构成基于 PICO 模型和 PRISMA 清单。提取了第一作者、年份、研究对象特征、干预措施、结局测量指标和变量、结果以及小波特征等信息。有 18 项研究使用了小波来研究下肢肌肉的肌电图。主要讨论了三个主题：1. 该方法正确将参与者分配到特定组别的能力（识别率）在 68.4%至 100%之间变化。2. 踝关节骨关节炎或全膝关节置换患者在早期站立阶段肌肉激活延迟，但在中期站立阶段激活时间延长。3. 萎缩肌肉不包含 II 型肌纤维成分，但在较低频率下含有更多能量。时间、频率和强度的同步信息具有重要的临床意义，因为它提供了有关不同步行和跑步速度下的预激活和反射激活行为以及步态周期每个时间点的频谱向高频或低频变化的有价值信息。
