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Spectral properties of myoelectric signals from different motor units in the leg extensor muscles

机译:腿伸肌不同运动单位的肌电信号的频谱特性

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摘要

Myoelectric signals measured using intramuscular electromyograms; (EMGs) in animals have shown that faster motor units generate higher frequencies in their power spectra. However, evidence to relate myoelectric frequency and motor unit type from the surface electromyograms typically measured from man have remained elusive. The purpose of this study was to determine if spectral properties from surface EMG could be related to the different motor units in the muscles of the leg extensors in man. Reflex experiments (both tendon tap and electrically stimulated) and graded isometric contractions were used to generate muscle contractions with different patterns of motor unit recruitment. EMG was recorded from the vastus lateralis and medialis, rectus femoris, medial and lateral gastrocnemius and soleus muscles. The EMGs were resolved into their intensities in time-frequency space using wavelet techniques. The intensity spectra were calculated for the reflex responses and for different contractile forces. The spectra were compared using principle component analyses and ANCOVA. Electrical stimulation can result in preferentially faster motor units being recruited, and in this study resulted in higher myoelectric frequencies than for the stretch reflex. During ramped contractions the motor units are recruited in an orderly fashion from slow to fast. As the faster motor units were recruited then higher frequency components appeared within the myoelectric intensity spectra. For all muscles tested there were significant correlations between the stage in contraction and the EMG frequency. Both approaches demonstrated higher frequency components in the myoelectric spectra when the faster motor units could be assumed to be active.
机译:使用肌内肌电图测量的肌电信号;动物(EMG)的研究表明,速度更快的电机在其功率谱中会产生更高的频率。但是,从通常从人身上测得的表面肌电图将肌电频率和运动单位类型联系起来的证据仍然难以捉摸。这项研究的目的是确定表面肌电图的光谱特性是否可能与人体腿部伸肌肌肉中不同的运动单位有关。使用反射实验(肌腱拍击和电刺激)和等距收缩收缩来生成具有不同运动单位募集模式的肌肉收缩。肌电图记录自股外侧肌和内侧肌,股直肌,腓肠肌内侧和外侧肌和比目鱼肌。使用小波技术将肌电信号分解为时频空间内的强度。计算出反射反应和不同收缩力的强度谱。使用主成分分析和ANCOVA对光谱进行比较。电刺激可导致优先募集较快的运动单位,并且在这项研究中产生的肌电频率高于牵张反射。在倾斜的收缩过程中,从慢速到快速有序地招募电动机。随着更快的运动单元被招募,则肌电强度谱内出现了更高频率的分量。对于所有测试的肌肉,收缩阶段与肌电图频率之间存在显着相关性。当可以假定较快的电机单元处于活动状态时,这两种方法均在肌电频谱中显示出较高的频率分量。

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