Humphrey Anthony R, Nargol Antoni V F, Jones Anthony P C, Ratcliffe Amy A, Greenough Charles G
Back Care Project, South Tees Acute Hospitals N.H.S. Trust, Middlesbrough, UK.
Eur Spine J. 2005 Mar;14(2):175-84. doi: 10.1007/s00586-004-0792-3. Epub 2004 Nov 12.
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.
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。