首页> 外文期刊>Journal of electromyography and kinesiology: Official journal of the International Society of Electrophysiological Kinesiology >Simulation analysis of interference EMG during fatiguing voluntary contractions. Part II - Changes in amplitude and spectral characteristics
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Simulation analysis of interference EMG during fatiguing voluntary contractions. Part II - Changes in amplitude and spectral characteristics

机译:疲劳肌电图疲劳疲劳的模拟分析。第二部分-幅度和频谱特性的变化

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Capabilities of amplitude and spectral methods for information extraction from interference EMG signals were assessed through simulation and preliminary experiment. Muscle was composed of 4 types of motor units (MUs). Different hypotheses on changes in firing frequency of individual MUs, intracellular action potential (IAP) and muscle fibre propagation velocity (MFPV) during fatigue were analyzed. It was found that changes in amplitude characteristics of interference signals (root mean square, RMS, or integrated rectified value, IEMG) detected by intramuscular and surface electrodes differed. RMS and IEMG of surface detected interference signals could increase even under MU firing rate reduction and without MU synchronisation. IAP profile lengthening can affect amplitude characteristics more significantly than MU, firing frequency. Thus, an increase of interference EMG amplitude is unreliable to reflect changes in the neural drive. The ratio between EMG amplitude and contraction response can hardly characterise the so-called 'neuromuscular efficiency'. The recently proposed spectral fatigue indices can be used for quantification of interference EMG signals. The indices are practically insensitive to MU firing frequency. IAP profile lengthening and decrease in MFPV enhanced the index value, while recruitment of fast fatigable MUs reduced it. Sensitivity of the indices was higher than that of indices traditionally used. (C) 2006 Elsevier Ltd. All rights reserved.
机译:通过仿真和初步实验,评估了从干扰肌电信号中提取信息的幅度和频谱方法的能力。肌肉由4种运动单位(MU)组成。分析了关于各个MU的放电频率,细胞内动作电位(IAP)和疲劳过程中肌纤维传播速度(MFPV)变化的不同假设。结果发现,肌内和表面电极检测到的干扰信号(均方根,RMS或积分整流值,IEMG)的幅度特性变化是不同的。即使在MU发射速率降低且没有MU同步的情况下,表面检测到的干扰信号的RMS和IEMG也会增加。 IAP轮廓延长比MU触发频率对振幅特性的影响更大。因此,增加干扰肌电图振幅并不可靠地反映神经驱动器的变化。 EMG振幅和收缩反应之间的比率几乎无法表征所谓的“神经肌肉效率”。最近提出的频谱疲劳指数可用于量化EMG干扰信号。该指标实际上对MU触发频率不敏感。 IAP配置文件的延长和MFPV的降低增强了指数值,而快速可疲劳MU的募集则降低了指数值。指数的敏感性高于传统使用的指数。 (C)2006 Elsevier Ltd.保留所有权利。

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