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首页> 外文期刊>Spine >Assessment of spinal musculature using surface electromyographic spectral color mapping.
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Assessment of spinal musculature using surface electromyographic spectral color mapping.

机译:使用表面肌电频谱光谱图评估脊柱肌肉组织。

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STUDY DESIGN: A technique is described for analyzing electromyogram data from lumbar spinal muscles, with special reference to discrimination of people with back pain. The ability to discriminate was evaluated in 99 people (61 healthy and 38 with chronic or acute back pain), and the influence of load was assessed. OBJECTIVES: To evaluate methods of analysis of complex electromyogram data and to assess correlation of electromyogram information with clinical condition in people with and without back pain. SUMMARY OF BACKGROUND INFORMATION: In previous analyses of electromyogram data, only a small part of the data have been used. Spinal muscular decompensation has been postulated in chronic low back pain, but there has been no direct demonstration of this phenomenon. Objective measures are still elusive. METHODS: Lumbar spinal surface electromyograms were recorded during an isometric lifting task. The data were represented graphically as color-coded plots of electromyogram frequency, time, and electromyogram amplitude. Spectral width at half-peak amplitude (spectral half width) was calculated from the digitized, summed data. Ninety-nine people were tested: 48 men (29 with no recent [in the past 2 years] history of back pain, 16 with chronic back pain, 3 with acute back pain) and 51 women (32 with no recent back pain and 19 with chronic back pain). RESULTS: Spectral color maps in people with chronic back pain were markedly different from those in healthy people. Spectral half width was greater in people with chronic back pain than in healthy people (P < 0.01). Blinded analysis of spectral color maps allowed discrimination of people with back pain from healthy people with a sensitivity of 76% and a specificity of 81%. People with a history of back pain had markedly variable half widths. CONCLUSIONS: A new method of analysis of electromyogram data from lumbar spinal muscles has allowed discrimination between people with back pain and healthy people. This provides direct evidence of a correlation between muscular electrical function, measured by electromyogram, and low back pain. This technique may have potential as an objective measurement tool.
机译:研究设计:描述了一种分析腰椎肌肉肌电图数据的技术,特别是对背痛患者的辨别。在99人(61位健康者和38位慢性或急性背痛)中评估了辨别能力,并评估了负荷的影响。目的:评估复杂的肌电图数据的分析方法,并评估肌电图信息与有无背痛的人的临床状况之间的相关性。背景技术概述:在先前的肌电图数据分析中,仅使用了一小部分数据。慢性腰背痛被假定为脊柱肌肉代偿失调,但尚无直接证据表明这种现象。客观措施仍然难以捉摸。方法:在等距提升任务期间记录腰椎表面肌电图。数据以图形方式表示为肌电图频率,时间和肌电图幅度的彩色编码图。从数字化的求和数据计算出半峰振幅处的谱宽度(谱半宽度)。测试了99个人:48名男性(其中29名最近(在过去2年内)没有背部疼痛史,16名患有慢性背痛,3名患有急性背痛)和51名女性(32名没有近期背痛,19名慢性腰痛)。结果:慢性背痛患者的光谱颜色图与健康人明显不同。慢性背痛患者的光谱半峰宽大于健康人群(P <0.01)。对频谱颜色图的盲法分析可将背痛患者与健康人群区分开,灵敏度为76%,特异性为81%。有腰痛史的人的半身宽度明显不同。结论:一种新的分析腰椎肌肉肌电图数据的方法可以区分背痛人和健康人。这提供了通过肌电图测量的肌肉电功能与下背部疼痛之间的相关性的直接证据。该技术可能具有作为客观测量工具的潜力。

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