Oddsson L I, Giphart J E, Buijs R J, Roy S H, Taylor H P, De Luca C J
NeuroMuscular Research Center, Boston University, MA 02215, USA.
J Rehabil Res Dev. 1997 Oct;34(4):415-26.
Spectral parameters of the surface electromyographic (EMG) signal from lumbar back muscles assessed during a fatiguing isometric contraction can be used to classify different categories of low back pain (LBP) subjects and control subjects without LBP. In the test protocol currently used at the NeuroMuscular Research Center at Boston University, subjects contract their back muscles at 80% of their maximal voluntary contraction (MVC) force. This fatigue-based protocol has been successfully applied to persons with subacute or chronic LBP; those in acute pain, however, have not been included because of their inability to perform a maximal exertion. In this paper we will examine the force sensitivity of the currently used EMG parameters and also give an overview of some of our efforts to develop new test procedures. Our goal is to develop force-insensitive surface EMG parameters that can be used for classification purposes in populations of subjects who develop low trunk extension forces. In addition, the development of a model to predict MVC from anthropometrical measurements will be presented.
在疲劳等长收缩过程中评估的来自下背部肌肉的表面肌电图（EMG）信号的频谱参数，可用于对不同类别的下背痛（LBP）受试者和无LBP的对照受试者进行分类。在波士顿大学神经肌肉研究中心目前使用的测试方案中，受试者以其最大自主收缩（MVC）力的80%收缩其背部肌肉。这种基于疲劳的方案已成功应用于亚急性或慢性LBP患者；然而，急性疼痛患者由于无法进行最大程度的用力而未被纳入。在本文中，我们将研究当前使用的EMG参数的力敏感性，并概述我们为开发新测试程序所做的一些努力。我们的目标是开发对力不敏感的表面EMG参数，可用于在低躯干伸展力受试者群体中进行分类。此外，还将介绍一个根据人体测量学测量预测MVC的模型的开发情况。
