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首页> 外文期刊>IEEE Transactions on Biomedical Engineering >A technique to track individual motor unit action potentials in surface EMG by monitoring their conduction velocities and amplitudes
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A technique to track individual motor unit action potentials in surface EMG by monitoring their conduction velocities and amplitudes

机译:一种通过监视其表面传导速度和幅度来跟踪表面肌电图中各个电机动作电位的技术

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摘要

The speed of propagation of an action potential along a muscle fiber, its conduction velocity (CV), can be used as an indication of the physiological or pathological state of the muscle fiber membrane. The motor unit action potential (MUAP), the waveform resulting from the spatial and temporal summation of the individual muscle fiber action potentials of that motor unit (MU), propagates with a speed referred to as the motor unit conduction velocity (MUCV). This paper introduces a new algorithm, the MU tracking algorithm, which estimates MUCVs and MUAP amplitudes for individual MUs in a localized MU population using SEMG signals. By tracking these values across time, the electrical activity of the localized MU pool can be monitored. An assessment of the performance of the algorithm has been achieved using simulated SEMG signals. It is concluded that this analysis technique enhances the suitability of SEMG for clinical applications and points toward a future of noninvasive diagnosis and assessment of neuromuscular disorders.
机译:动作电位沿肌纤维的传播速度,其传导速度(CV)可用作肌纤维膜的生理或病理状态的指标。运动单位动作电位(MUAP)是由该运动单位(MU)的各个肌肉纤维动作电位的时空总和产生的波形,其传播速度称为运动单位传导速度(MUCV)。本文介绍了一种新的算法,即MU跟踪算法,该算法使用SEMG信号估计局部MU群体中单个MU的MUCV和MUAP幅度。通过跨时间跟踪这些值,可以监视本地MU池的电活动。使用模拟的SEMG信号已经实现了算法性能的评估。结论是,这种分析技术增强了SEMG在临床上的适用性,并指出了神经肌肉疾病的非侵入性诊断和评估的未来。

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