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评估脊柱共激活的方法综述。

A review of methods to assess coactivation in the spine.

作者信息

Le Peter, Best Thomas M, Khan Safdar N, Mendel Ehud, Marras William S

机构信息

Spine Research Institute - Biodynamics Laboratory, Department of Integrated Systems Engineering, The Ohio State University, Columbus, OH, USA; 210 Baker Systems Engineering, 1971 Neil Avenue, Columbus, OH 43210, USA.

出版信息

J Electromyogr Kinesiol. 2017 Feb;32:51-60. doi: 10.1016/j.jelekin.2016.12.004. Epub 2016 Dec 20.

Abstract

Coactivation is an important component for understanding the physiological cost of muscular and spinal loads and their associations with spinal pathology and potentially myofascial pain. However, due to the complex and dynamic nature of most activities of daily living, it can be difficult to capture a quantifiable measure of coactivation. Many methods exist to assess coactivation, but most are limited to two-muscle systems, isometric/complex analyses, or dynamic/uniplanar analyses. Hence, a void exists in that coactivation has not been documented or assessed as a multiple-muscle system under realistic complex dynamic loading. Overall, no coactivation index has been capable of assessing coactivation during complex dynamic exertions. The aim of this review is to provide an understanding of the factors that may influence coactivation, document the metrics used to assess coactivity, assess the feasibility of those metrics, and define the necessary variables for a coactivation index that can be used for a variety of tasks. It may also be clinically and practically relevant in the understanding of rehabilitation effectiveness, efficiency during task performance, human-task interactions, and possibly the etiology for a multitude of musculoskeletal conditions.

摘要

共同激活是理解肌肉和脊柱负荷的生理成本及其与脊柱病理以及潜在肌筋膜疼痛之间关联的一个重要组成部分。然而,由于大多数日常生活活动具有复杂和动态的性质,很难获取共同激活的可量化测量值。存在多种评估共同激活的方法,但大多数仅限于双肌肉系统、等长/复杂分析或动态/单平面分析。因此,在现实的复杂动态负荷下,作为多肌肉系统的共同激活尚未得到记录或评估,这方面存在空白。总体而言,尚无共同激活指数能够在复杂动态运动期间评估共同激活。本综述的目的是了解可能影响共同激活的因素,记录用于评估共同激活的指标,评估这些指标的可行性,并确定可用于各种任务的共同激活指数的必要变量。这在理解康复效果、任务执行期间的效率、人机任务交互以及可能的多种肌肉骨骼疾病的病因方面,在临床和实际应用中也可能具有相关性。

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