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SCI 患者等速 FES 自行车运动中的诱发肌电图和肌肉疲劳。

Evoked EMG and muscle fatigue during isokinetic FES-cycling in individuals with SCI.

机构信息

Clinical Exercise and Rehabilitation Unit, The University of Sydney, Sydney, NSW, Australia.

出版信息

Neuromodulation. 2011 Jul-Aug;14(4):349-55; discussion 355. doi: 10.1111/j.1525-1403.2011.00354.x. Epub 2011 Apr 15.

Abstract

PURPOSE

This study investigated whether muscle fatigue during functional electrical stimulation (FES)-induced cycling was associated with changes occurring in evoked electromyographic signals (eEMG, M-waves) in individuals with spinal cord injury. We also explored the effects of recovery intervals between exercise sessions on the relationship between eEMG and muscle torque.

METHODS

Eight individuals with spinal cord injury performed three FES-cycling sessions of 15-min duration, with 5 min of recovery between them. The quadriceps muscles were electrically stimulated as the prime agonist to produce cycling. Pedal torques and surface eEMG signals were synchronously processed and recorded for offline analysis.

RESULTS

Large Torque decreases (20-44%) were observed in the first 5 min of cycling during the three exercise bouts, while changes of similar magnitude did not occur on any of the M-wave time-series (less than 19%). Between 5 and 15 min of cycling, muscle fatigue lowered the plateau baselines of Torque (ranging from 41% to 62%), M-wave peak-to-peak amplitude (PtpA) and Area (ranging from 60% to 98%) time-series, yet the magnitudes of these reductions were not consistent between them.

CONCLUSION

We concluded that muscle fatigue during FES-cycling was not associated with, nor could be predicted by, eEMG signals. Nonetheless, the consistency between M-waves and Torque time-curves in their direction of change clearly warrants further investigation.

摘要

目的

本研究旨在探讨在脊髓损伤患者进行功能性电刺激(FES)诱导的自行车运动时,肌肉疲劳是否与诱发肌电图信号(eEMG,M 波)的变化有关。我们还探讨了运动之间的恢复间隔对 eEMG 和肌肉扭矩之间关系的影响。

方法

8 名脊髓损伤患者进行了 3 次 15 分钟的 FES 自行车运动,每次运动之间有 5 分钟的恢复期。通过电刺激股四头肌作为主要激动剂来产生自行车运动。同步处理和记录踏板扭矩和表面 eEMG 信号,以便离线分析。

结果

在三次运动中,第一次 5 分钟的自行车运动中观察到扭矩的大幅下降(20-44%),而在任何 M 波时间序列中都没有发生类似幅度的变化(小于 19%)。在自行车运动的 5-15 分钟之间,肌肉疲劳降低了扭矩的平台基线(范围为 41%至 62%)、M 波峰峰值幅度(PtpA)和面积(范围为 60%至 98%)时间序列,但这些减少的幅度在它们之间并不一致。

结论

我们得出结论,FES 自行车运动中的肌肉疲劳与 eEMG 信号无关,也无法通过 eEMG 信号预测。尽管如此,M 波和扭矩时间曲线在变化方向上的一致性显然值得进一步研究。

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