Bogey R A, Barnes L A, Perry J
Pathokinesiology Service, Rancho Los Amigos Medical Center, Downey, CA.
Arch Phys Med Rehabil. 1993 Mar;74(3):286-91.
A computer algorithm was developed to determine the group electromyographic (EMG) profile for the soleus muscle during free speed level walking. Subjects consisted of 50 adults (21 male, 29 female) with no history of musculoskeletal disease. EMG was recorded from the soleus muscle with wire electrodes, and was normalized by maximum muscle test. Two algorithms (time-adjusted mean profile (TAMP) and mean intensity profile (MIP)) were implemented to construct a group profile from identical individual EMG profiles. In addition, a grand ensemble average (GEAV) of the same individual data was performed. A high positive correlation (omega 2 > .995) was found between MIP and GEAV of EMG data. A control group was established based on mean timing and relative intensity of the individual EMG profiles. The MIP and GEAV were shown to have earlier onsets, later cessations, and extended EMG duration in comparison to control values. No significant differences were observed comparing TAMP and mean values for any measure.
开发了一种计算机算法，以确定自由速度水平行走期间比目鱼肌的组肌电图（EMG）特征。受试者包括50名无肌肉骨骼疾病病史的成年人（21名男性，29名女性）。用线状电极记录比目鱼肌的肌电图，并通过最大肌肉测试进行标准化。实施了两种算法（时间调整平均轮廓（TAMP）和平均强度轮廓（MIP）），以从相同的个体肌电图轮廓构建组轮廓。此外，对相同个体数据进行了总体平均（GEAV）。发现EMG数据的MIP和GEAV之间存在高度正相关（ω2>.995）。根据个体肌电图轮廓的平均时间和相对强度建立了一个对照组。与对照值相比，MIP和GEAV显示出更早的起始、更晚的停止以及更长的肌电图持续时间。比较TAMP和任何测量的平均值时未观察到显著差异。
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