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肌振动图作为肌肉力量产生的定量测量方法。

Vibromyography as a quantitative measure of muscle force production.

作者信息

Matheson G O, Maffey-Ward L, Mooney M, Ladly K, Fung T, Zhang Y T

机构信息

Department of Medicine, Stanford University School of Medicine, USA.

出版信息

Scand J Rehabil Med. 1997 Mar;29(1):29-35.

PMID:9084103
Abstract

This study was undertaken to investigate the use of vibromyography (VMG) as a tool for quantifying skeletal muscle force production. Fourteen healthy volunteers were pretested using a Cybex isokinetic dynamometer to determine their isometric quadricep maximum voluntary contraction (MVC) values. On the basis of these results, the subjects were separated into two groups: high-force ("HF" MVC mean = 289 ft.lb., range 254-330) and low-force ("LF" MVC mean = 154 ft.lb., range 101-198). A vibromyographic piezoelectric accelerometer (Dytran 3115A) and electromyographic (EMG) surface electrodes were affixed to the rectus femoris muscle and recordings were obtained at 20, 40, 60, 80, and 100% MVC. Root mean squares, median and mean values were computed from digitized data in the time domain while peak values were calculated from a fast Fourier transform for both the VMG and EMG data. A two-way repeated measures MANOVA using relative values and a linear regression model using absolute values were studied using BMDP and MiniTab software. Linear correlations were found between quadricept force and all EMG variables (R2 range 0.71-0.90) except peak (R2 = 0.39). The relationship between VMG and force was less linear (R2 range 0.19-0.69) because VMG values reach a plateau or even drop at 80% and 100% MVC. The HF-LF group differences were significant (p < 0.05), for all VMG values with the exception of root mean squares, but were not significant (p > 0.05) for all four EMG values. This study shows that, while EMG can discriminate force production within a given subject, VMG is a better discriminator of absolute muscle force values between subjects, particularly up to 60% MVC.

摘要

本研究旨在探讨将肌振动图(VMG)作为一种量化骨骼肌力量产生的工具。使用Cybex等速测力计对14名健康志愿者进行预测试,以确定他们的股四头肌等长最大自主收缩(MVC)值。根据这些结果,将受试者分为两组:高力量组(“HF”,MVC平均值 = 289英尺磅,范围254 - 330)和低力量组(“LF”,MVC平均值 = 154英尺磅,范围101 - 198)。将肌振动图压电加速度计(Dytran 3115A)和肌电图(EMG)表面电极粘贴到股直肌上,并在20%、40%、60%、80%和100%MVC时进行记录。从时域中的数字化数据计算均方根、中位数和平均值,同时从VMG和EMG数据的快速傅里叶变换计算峰值。使用BMDP和MiniTab软件研究了使用相对值的双向重复测量MANOVA和使用绝对值的线性回归模型。发现股四头肌力量与除峰值外的所有EMG变量之间存在线性相关性(R²范围0.71 - 0.90,峰值R² = 0.39)。VMG与力量之间的关系线性较差(R²范围0.19 - 0.69),因为VMG值在80%和100%MVC时达到平台期甚至下降。除均方根外,所有VMG值的HF - LF组差异均显著(p < 0.05),但所有四个EMG值的差异均不显著(p > 0.05)。本研究表明,虽然EMG可以区分给定受试者内的力量产生,但VMG在区分受试者之间的绝对肌肉力量值方面表现更好,尤其是在高达60%MVC时。

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