Dolan P, Mannion A F, Adams M A
Comparative Orthopaedic research Unit, University of Bristol, United Kingdom.
Spine (Phila Pa 1976). 1995 Jan 15;20(2):149-59. doi: 10.1097/00007632-199501150-00005.
The authors investigated fatigue-induced changes in the frequency content of the surface electromyographic (EMG) signal from the erector spinae muscles.
The objective of the study was to understand the EMG changes in fatiguing muscle and to obtain a reliable index of fatigue.
Power spectral analysis has been used increasingly in recent years to monitor muscle fatigue, but parameters other than the mean or median frequency have received little attention.
Thirty-five healthy volunteers participated. They pulled upward with constant force on a handlebar attached to a floor-mounted load cell while the EMG signal from the erector spinae was recorded at the levels of T10 and L3 at 1024 Hz; 1.0-sec "windows" of the signal were analyzed using fast Fourier transforms, and the resulting power spectra were divided into 10 frequency bands between 5 Hz and 300 Hz. The median frequency, total power, and peak amplitude of the spectra were also calculated. Changes in the frequency content of the EMG signal were examined during submaximal contractions of different intensity and duration.
Median frequency decreased steadily during the contractions, whereas total power and peak amplitude increased. The most repeatable and linear index of change was the increase in the EMG signal in the 5-30 Hz frequency band. The middle-to-high frequency component of the EMG signal increased during the early stages of the contractions, but decreased as the endurance limit was approached.
Changes in the 5-30 Hz band of the EMG power spectrum provide a more reliable and linear index of fatigue in the erector spinae muscles than do changes in median frequency. In the erector spinae, the early effects of fatigue appear to be delayed by the recruitment of additional motor units.
作者研究了疲劳引起的竖脊肌表面肌电图(EMG)信号频率成分的变化。
本研究的目的是了解疲劳肌肉中的肌电图变化,并获得可靠的疲劳指标。
近年来,功率谱分析越来越多地用于监测肌肉疲劳,但除平均频率或中位数频率外的参数很少受到关注。
35名健康志愿者参与。他们以恒定的力向上拉连接在地板安装的测力传感器上的车把,同时在T10和L3水平以1024Hz记录竖脊肌的肌电图信号;使用快速傅里叶变换分析信号的1.0秒“窗口”,并将所得功率谱分为5Hz至300Hz之间的10个频段。还计算了频谱的中位数频率、总功率和峰值幅度。在不同强度和持续时间的次最大收缩过程中,检查了肌电图信号频率成分的变化。
在收缩过程中,中位数频率稳步下降,而总功率和峰值幅度增加。最可重复和线性的变化指标是5-30Hz频段内肌电图信号的增加。肌电图信号的中高频成分在收缩早期增加,但在接近耐力极限时下降。
与中位数频率的变化相比,肌电图功率谱5-30Hz频段的变化为竖脊肌疲劳提供了更可靠和线性的指标。在竖脊肌中,疲劳的早期影响似乎因额外运动单位的募集而延迟。