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利用肌电信号的非幅度成分来识别下背部受伤者与对照组之间的功能差异。

The use of non-amplitude components of the myoelectric signal in identifying differences in function between the low back injured and controls.

作者信息

Lehman Gregory J

机构信息

Department of Graduate Studies and Research, Canadian Memorial Chiropractic College, Toronto, Ontario, Canada.

出版信息

J Can Chiropr Assoc. 2004 Sep;48(3):225-34.

Abstract

This article primarily reviews the assessment of the non-amplitude dependent components of the myoelectric signal in assessing lumbar function in the low back injured and how persons with low back injuries may differ from the non-injured. Assessment of anomalies in function can loosely be categorized into 4 separate protocols: 1. Assessing the pattern of myoelectric activation, 2. Assessing the EMG frequency spectrum during fatigue, 3. Assessing EMG onset timing during movement and stability challenges and 4. Assessing myoelectric function with link-segment models and EMG assisted spinal models. Assessing the EMG spectrum during fatigue can discriminate between populations; however, questions regarding across day repeatability limit its ability to identify change over time. The remaining techniques are relatively new, show statistically significant differences between the low back injured and normals and provide insight into aberrant spinal stability, motor control function and spinal loading. Their response to rehabilitation programs is largely unknown suggesting a need and avenue for future research.

摘要

本文主要综述了肌电信号非幅度相关成分在评估腰部损伤患者腰椎功能中的应用,以及腰部损伤患者与未受伤者之间的差异。功能异常评估大致可分为4种不同的方案:1. 评估肌电激活模式;2. 评估疲劳期间的肌电图频谱;3. 评估运动和稳定性挑战期间的肌电起始时间;4. 用环节模型和肌电辅助脊柱模型评估肌电功能。评估疲劳期间的肌电图频谱可以区分不同人群;然而,关于日间重复性的问题限制了其识别随时间变化的能力。其余技术相对较新,在腰部损伤患者和正常人之间显示出统计学上的显著差异,并能深入了解异常的脊柱稳定性、运动控制功能和脊柱负荷。它们对康复计划的反应在很大程度上尚不清楚,这表明未来研究的必要性和方向。

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