Muscle Nerve. 2014 Feb;49(2):202-8. doi: 10.1002/mus.23896.
In this study we examined the mechanomyographic amplitude (MMG(RMS))–force relationships with log-transform and polynomial regression models for the vastus lateralis (VL), rectus femoris (RF), and first dorsal interosseous (FDI) muscles.
Twelve healthy (age 23 ± 3 years) men performed isometric ramp contractions of the leg extensors and index finger from 10% to 80% of their maximal voluntary contraction (MVC) with MMG sensors positioned on the VL, RF, and FDI. Log-transform and polynomial regression models were fitted to the relationships.
There were differences for the a terms (intercepts) and b terms (slopes) from the log-transform model between the FDI, VL, and RF; however, there were no consistent differences identified with the polynomial regression models.
The log-transform model quantified differences in the patterns of responses between the FDI and the leg extensors, but polynomial regression could not distinguish such differences.
本研究通过对数转换和多项式回归模型，检测了股外侧肌（VL）、股直肌（RF）和第一背间骨间肌（FDI）的肌动描记幅度（MMG(RMS)）与力量的关系。
12 名健康男性（年龄 23±3 岁）以 MMG 传感器置于 VL、RF 和 FDI 上的方式，进行腿部伸展和食指等长向心收缩的 ramp 收缩，从 10%到 80%的最大自主收缩（MVC）。对数转换和多项式回归模型拟合了这些关系。
FDI、VL 和 RF 之间的 log 转换模型的 a 项（截距）和 b 项（斜率）存在差异；然而，多项式回归模型并未发现一致的差异。
log 转换模型量化了 FDI 和腿部伸肌之间反应模式的差异，但多项式回归无法区分这些差异。
