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

机译:腰椎旁肌的肌电图在区分慢性下腰痛患者和正常人中的价值

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摘要

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.
机译:作者研究了350名受试者的脊柱旁肌的表面肌电图(EMG)光谱。根据病史分为正常(n = 175),慢性下腰痛(n = 145)或既往病史(n = 30)。他们在地板上的称重传感器上以最大自愿收缩的三分之二向上拉动30秒,而肌电图是从L4 / L5水平的椎旁肌测量得出的。从EMG信号计算出均方根(RMS)。功率谱分析允许计算中值频率斜率,初始中值频率(IMF),模态频率,峰值幅度和半峰值幅度(半峰宽)处的频谱宽度。慢性组的所有变量均与正常组显着不同,除了中位数频率斜率,RMS斜率和众数。半身宽,年龄和最大自愿收缩被证明是背痛分类的独立预测因子。半角宽度对受试者的敏感性为0.65,特异性为0.75。

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