Kollmitzer J, Ebenbichler G R, Kopf A
Department of Physical Medicine and Rehabilitation, University of Vienna, Austria.
Clin Neurophysiol. 1999 Apr;110(4):725-34. doi: 10.1016/s1388-2457(98)00050-9.
The aim of the study was to investigate short-term, intermediate-term and long-term reliability of surface electromyographic (EMG) measurements.
Eighteen healthy subjects performed 810 isometric knee extension tests. Reliability for maximum voluntary contraction (MVC) and 50% MVC was assessed with retest intervals of 3 min, 90 min and 6 weeks. Reliability for sustained contractions was assessed with retest intervals of 90 min and 6 weeks. EMG was recorded from the rectus femoris, vastus lateralis and vastus medialis muscles. The root mean square (RMS) and the median frequency (MF) parameters were extracted. At sustained contraction tasks, estimated linear regression values of both parameters were analyzed. Bland-Altman-plots, coefficient of repeatability, Pearson's coefficient of correlation and intra class correlation (ICC) procedures were applied to assess test-retest reliability.
EMG recordings taken at short-term intervals were generally better reproducible than those of the longer-term intervals. Moreover, 50% MVC EMG recordings demonstrated better reproducibility than 100% MVC measurements, and EMG recorded from the rectus femoris were more constant than that from the vastus lateralis or vastus medialis. The MF parameter recorded from the rectus femoris was the only reliable parameter of EMG fatigue change.
In our set up, EMG measurement is best suited for clinical applications if submaximal MVC measurements are performed and signal is taken from rectus femoris muscle.
本研究旨在调查表面肌电图(EMG)测量的短期、中期和长期可靠性。
18名健康受试者进行了810次等长膝关节伸展测试。以3分钟、90分钟和6周的重测间隔评估最大自主收缩(MVC)和50%MVC的可靠性。以90分钟和6周的重测间隔评估持续收缩的可靠性。从股直肌、股外侧肌和股内侧肌记录EMG。提取均方根(RMS)和中位数频率(MF)参数。在持续收缩任务中,分析两个参数的估计线性回归值。应用布兰德-奥特曼图、重复性系数、皮尔逊相关系数和组内相关(ICC)程序来评估重测可靠性。
短期间隔采集的EMG记录通常比长期间隔的记录具有更好的可重复性。此外,50%MVC的EMG记录比100%MVC测量具有更好的可重复性,并且从股直肌记录的EMG比从股外侧肌或股内侧肌记录的更稳定。从股直肌记录的MF参数是EMG疲劳变化的唯一可靠参数。
在我们的设置中,如果进行次最大MVC测量并从股直肌采集信号,EMG测量最适合临床应用。