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先进生物力学方法在腰痛研究中的应用——下背部负荷估计及大阵列表面肌电图的最新进展与研究结果

Application of advanced biomechanical methods in studying low back pain - recent development in estimation of lower back loads and large-array surface electromyography and findings.

作者信息

Bazrgari Babak, Xia Ting

机构信息

F. Joseph Halcomb III, M.D. Department of Biomedical Engineering, University of Kentucky, Lexington, KY.

Palmer Center for Chiropractic Research, Palmer College of Chiropractic, Davenport, IA, USA.

出版信息

J Pain Res. 2017 Jul 17;10:1677-1685. doi: 10.2147/JPR.S139185. eCollection 2017.

Abstract

Low back pain (LBP) is a major public health problem and the leading disabling musculoskeletal disorder globally. A number of biomechanical methods using kinematic, kinetic and/or neuromuscular approaches have been used to study LBP. In this narrative review, we report recent developments in two biomechanical methods: estimation of lower back loads and large-array surface electromyography (LA-SEMG) and the findings associated with LBP. The ability to estimate lower back loads is very important for the prevention and the management of work-related low back injuries based on the mechanical loading model as one category of LBP classification. The methods used for estimation of lower back loads vary from simple rigid link-segment models to sophisticated, optimization-based finite element models. In general, reviewed reports of differences in mechanical loads experienced in lower back tissues between patients with LBP and asymptomatic individuals are not consistent. Such lack of consistency is primarily due to differences in activities under which lower back mechanical loads were investigated as well as heterogeneity of patient populations. The ability to examine trunk neuromuscular behavior is particularly relevant to the motor control model, another category of LBP classification. LA-SEMG not only is noninvasive but also provides spatial resolution within and across muscle groups. Studies using LA-SEMG showed that healthy individuals exhibit highly organized, symmetric back muscle activity patterns, suggesting an orderly recruitment of muscle fibers. In contrast, back muscle activity patterns in LBP patients are asymmetric or multifocal, suggesting lack of orderly muscle recruitment. LA-SEMG was also shown capable of capturing unique back muscle response to manual therapy. In conclusion, estimation of low back load and LA-SEMG techniques demonstrated promising potentials for understanding LBP and treatment effects. Future studies are warranted to fully establish clinical validity of these two biomechanical methods.

摘要

腰痛(LBP)是一个重大的公共卫生问题,也是全球导致残疾的主要肌肉骨骼疾病。许多使用运动学、动力学和/或神经肌肉方法的生物力学方法已被用于研究腰痛。在本叙述性综述中,我们报告了两种生物力学方法的最新进展:下背部负荷估计和大阵列表面肌电图(LA-SEMG)以及与腰痛相关的研究结果。基于机械负荷模型作为腰痛分类的一类,估计下背部负荷的能力对于预防和管理与工作相关的下背部损伤非常重要。用于估计下背部负荷的方法从简单的刚性连杆节段模型到复杂的基于优化的有限元模型不等。一般来说,关于腰痛患者和无症状个体在下背部组织中所经历的机械负荷差异的综述报告并不一致。这种缺乏一致性主要是由于研究下背部机械负荷时所涉及的活动差异以及患者群体的异质性。检查躯干神经肌肉行为的能力与运动控制模型(腰痛分类的另一类)特别相关。LA-SEMG不仅是非侵入性的,而且还能提供肌肉群内部和之间的空间分辨率。使用LA-SEMG的研究表明,健康个体表现出高度有组织、对称的背部肌肉活动模式,这表明肌肉纤维的有序募集。相比之下,腰痛患者的背部肌肉活动模式是不对称或多灶性的,这表明缺乏有序的肌肉募集。LA-SEMG还被证明能够捕捉对手法治疗的独特背部肌肉反应。总之,下背部负荷估计和LA-SEMG技术在理解腰痛和治疗效果方面显示出有前景的潜力。未来的研究有必要充分确立这两种生物力学方法的临床有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a78/5522670/d56c6f1bec89/jpr-10-1677Fig1.jpg

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