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本文引用的文献

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The effects of muscle length and force output on the EMG power spectrum of the erector spinae.竖脊肌肌长和力输出对其肌电图功率谱的影响。
J Electromyogr Kinesiol. 1996 Sep;6(3):159-68. doi: 10.1016/1050-6411(95)00028-3.
2
The relation between force and integrated electrical activity in fatigued muscle.疲劳肌肉中力与综合电活动之间的关系。
J Physiol. 1956 Jun 28;132(3):677-81. doi: 10.1113/jphysiol.1956.sp005558.
3
Reproducibility of lumbar paraspinal surface electromyogram power spectra.腰椎旁肌表面肌电图功率谱的可重复性
Clin Biomech (Bristol). 1996 Sep;11(6):317-321. doi: 10.1016/0268-0033(96)00020-4.
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Asymptomatic haematuria. Oxford textbook of medicine might have helped author.无症状血尿。《牛津医学教科书》可能对作者有所帮助。
BMJ. 2000 Jun 10;320(7249):1599; author reply 1599-600.
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Personal risk factors for first-time low back pain.首次发生腰痛的个人风险因素。
Spine (Phila Pa 1976). 1999 Dec 1;24(23):2497-505. doi: 10.1097/00007632-199912010-00012.
6
Fibre type characteristics and function of the human paraspinal muscles: normal values and changes in association with low back pain.人类椎旁肌的纤维类型特征与功能:正常值及与腰痛相关的变化
J Electromyogr Kinesiol. 1999 Dec;9(6):363-77. doi: 10.1016/s1050-6411(99)00010-3.
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Prediction of maximal back muscle strength from indices of body mass and fat-free body mass.根据体重指数和去脂体重指数预测最大背部肌肉力量。
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8
Factors in the reproducibility of electromyographic power spectrum analysis of lumbar paraspinal muscle fatigue.腰椎旁肌疲劳肌电图功率谱分析再现性的影响因素。
Spine (Phila Pa 1976). 1999 May 1;24(9):883-8. doi: 10.1097/00007632-199905010-00009.
9
Assessment of spinal musculature using surface electromyographic spectral color mapping.使用表面肌电图频谱彩色映射评估脊柱肌肉组织。
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腰背部椎旁肌肌电图在区分慢性下腰痛患者与正常受试者方面的价值。

The value of electromyography of the lumbar paraspinal muscles in discriminating between chronic-low-back-pain sufferers and normal subjects.

作者信息

Humphrey Anthony R, Nargol Antoni V F, Jones Anthony P C, Ratcliffe Amy A, Greenough Charles G

机构信息

Back Care Project, South Tees Acute Hospitals N.H.S. Trust, Middlesbrough, UK.

出版信息

Eur Spine J. 2005 Mar;14(2):175-84. doi: 10.1007/s00586-004-0792-3. Epub 2004 Nov 12.

DOI:10.1007/s00586-004-0792-3
PMID:15549487
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3476699/
Abstract

The authors studied the surface electromyographic (EMG) spectrum of the paraspinal muscles of 350 subjects. They were classified by their history as normal (n=175), chronic low back pain (n=145), or past history (n=30). They pulled upwards on a floor-mounted load cell at two-thirds of their maximum voluntary contraction for 30 s, while the EMG was measured from the paraspinal muscles at the L4/L5 level. From the EMG signal the root-mean-square (RMS) was calculated. Power spectrum analysis allowed calculation of the median frequency slope, the initial median frequency (IMF), modal frequency, peak amplitude and spectral width at half peak amplitude (half-width). All of the variables of the chronic group were significantly different from the normal group, except the median frequency slope, RMS slope and mode. Half-width, age and maximum voluntary contraction were shown to be independent predictors of back pain classification. Half-width classified the subjects with a sensitivity of 0.65 and a specificity of 0.75.

摘要

作者研究了350名受试者椎旁肌的表面肌电图(EMG)频谱。根据病史将他们分为正常组(n = 175)、慢性下背痛组(n = 145)或既往病史组(n = 30)。他们以最大自主收缩的三分之二向上拉动地面安装的测力传感器,持续30秒,同时在L4/L5水平测量椎旁肌的肌电图。从肌电图信号中计算均方根(RMS)。功率谱分析允许计算中频斜率、初始中频(IMF)、模态频率、峰值幅度和半峰幅度处的频谱宽度(半高宽)。除中频斜率、RMS斜率和模态外,慢性组的所有变量均与正常组有显著差异。半高宽、年龄和最大自主收缩被证明是背痛分类的独立预测因素。半高宽对受试者进行分类的灵敏度为0.65,特异性为0.75。