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随意收缩中肌肉疲劳的肌电和力学表现。

Myoelectric and mechanical manifestations of muscle fatigue in voluntary contractions.

作者信息

Merletti R, Roy S

机构信息

NeuroMuscular Research Center, Boston University, MA, USA.

出版信息

J Orthop Sports Phys Ther. 1996 Dec;24(6):342-53. doi: 10.2519/jospt.1996.24.6.342.

Abstract

Endurance is a clinically relevant muscle parameter. It would be desirable to be able to estimate it without the need for a contraction sustained to exhaustion. The purpose of this work was to investigate the capability of the initial rate of spectral compression of the surface electromyographic (EMG) signal to predict mechanical endurance during sustained voluntary contractions of the human tibialis anterior muscle. Six healthy subjects performed voluntary isometric contractions of the tibialis anterior at 80, 70, 60, and 50% of the maximal voluntary contraction level. The contractions were sustained for 90, 120, 150, and 170 seconds, respectively. These intervals exceed the normal endurance time for this muscle and allow for a decrease of torque output. The slope of the median frequency, computed over the first 30 seconds of the contraction, was used to describe the initial spectral compression of the EMG signal. Significant correlations were found: 1) between contraction level and endurance time (p < 0.05 for each subject) and 2) between median (or mean) frequency slope and endurance time (p < 0.0001 for all subjects pooled together). The regression between median frequency slope and endurance time showed intersubject variations possibly related to the tibialis anterior muscle fiber type content. It is concluded that clinical use of the EMG spectral technique in assessing muscle fatigue may enable the clinician to estimate the endurance time without having the subject sustain a contraction until the point of contractile failure. This could be an advantage for some patient populations, such as the severely disabled, arthritic, or frail elderly, that might not be able to tolerate long duration contractions.

摘要

耐力是一个具有临床相关性的肌肉参数。若能在无需持续收缩至疲劳的情况下对其进行估计将十分理想。本研究的目的是探究表面肌电图(EMG)信号频谱压缩的初始速率预测人体胫骨前肌持续自主收缩期间机械耐力的能力。六名健康受试者以最大自主收缩水平的80%、70%、60%和50%进行胫骨前肌的自主等长收缩。收缩分别持续90秒、120秒、150秒和170秒。这些时长超过了该肌肉的正常耐力时间,并允许扭矩输出下降。在收缩的前30秒计算得到的中位频率斜率用于描述EMG信号的初始频谱压缩。研究发现了显著相关性:1)收缩水平与耐力时间之间(每名受试者p < 0.05)以及2)中位(或平均)频率斜率与耐力时间之间(所有受试者汇总p < 0.0001)。中位频率斜率与耐力时间之间的回归显示受试者间存在差异,这可能与胫骨前肌纤维类型含量有关。得出的结论是,在评估肌肉疲劳时临床应用EMG频谱技术可能使临床医生能够估计耐力时间,而无需受试者持续收缩直至收缩衰竭点。对于一些可能无法耐受长时间收缩的患者群体,如严重残疾者、关节炎患者或体弱的老年人,这可能是一个优势。

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