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使用肌电信号频带分析评估次最大负荷下的背部伸肌疲劳。

Back extensor muscle fatigue at submaximal workloads assessed using frequency banding of the electromyographic signal.

作者信息

Cardozo Adalgiso Coscrato, Gonçalves Mauro, Dolan Patricia

机构信息

Department of Physical Education, Biosciences Institute, São Paulo State University, Rio Claro, São Paulo, Brazil.

出版信息

Clin Biomech (Bristol). 2011 Dec;26(10):971-6. doi: 10.1016/j.clinbiomech.2011.06.001. Epub 2011 Jun 21.

Abstract

BACKGROUND

Changes in the mean or median frequency of the electromyographic (EMG) power spectrum are often used to assess skeletal muscle fatigue. A more global analysis of the spectral changes using frequency banding may provide a more sensitive measure of fatigue than changes in mean or median frequency. So, the aim of the present study was to characterize changes in different power spectrum frequency bands and compare these with changes in median frequency.

METHODS

Twenty male subjects performed isometric contractions of the back muscles in an isometric dynamometer at 30%, 40%, 50% and 60% of maximum voluntary contraction. During each contraction, surface EMG signals were recorded from the right and left longissimus thoracis muscles, and endurance time was measured. The EMG power spectra were divided into four frequency bands (20-50 Hz; 50-80 Hz; 80-110 Hz; 110-140 Hz) and changes in power in each band with fatigue were compared with changes in median frequency.

FINDINGS

The percentage changes in 20-50 Hz band were greater than in all other and the rate of change in power, indicated by the slope, was also greatest in 20-50 Hz band. Also, 20-50 Hz band had a greater change in power than the median frequency.

INTERPRETATION

Power in the low frequency part of the EMG power spectrum increases with fatigue in a load-dependent manner. The rate of change in low frequency power may be a useful indicator of fatigue rate or "fatigability" in the back muscles. Also, changes in low frequency power are more evident than changes in the median frequency.

摘要

背景

肌电图(EMG)功率谱的平均或中位数频率变化常被用于评估骨骼肌疲劳。与平均或中位数频率变化相比,使用频段划分对频谱变化进行更全面的分析可能会提供更敏感的疲劳测量方法。因此,本研究的目的是描述不同功率谱频段的变化,并将这些变化与中位数频率的变化进行比较。

方法

20名男性受试者在等动测力计上以最大自主收缩的30%、40%、50%和60%进行背部肌肉的等长收缩。在每次收缩过程中,记录左右胸最长肌的表面肌电信号,并测量耐力时间。将肌电功率谱分为四个频段(20 - 50赫兹;50 - 80赫兹;80 - 110赫兹;110 - 140赫兹),并将每个频段功率随疲劳的变化与中位数频率的变化进行比较。

研究结果

20 - 50赫兹频段的百分比变化大于所有其他频段,且由斜率表示的功率变化率在20 - 50赫兹频段也最大。此外,20 - 50赫兹频段的功率变化大于中位数频率的变化。

解读

肌电功率谱低频部分的功率随疲劳以负荷依赖的方式增加。低频功率的变化率可能是背部肌肉疲劳率或“易疲劳性”的一个有用指标。此外,低频功率的变化比中位数频率的变化更明显。

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