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Use of the integrated profile for voluntary muscle activity detection using EMG signals with spurious background spikes: A study with incomplete spinal cord injury

机译:使用整合的配置文件使用带有虚假背景峰值的EMG信号进行自愿性肌肉活动检测:脊髓不完全损伤的研究

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摘要

Following neurological injuries, such as spinal cord injury (SCI), voluntary muscle activity detection from electromyography (EMG) signals can be problematic due to spurious involuntary spikes produced by physiological and extrinsic/accidental origins. The purpose of this study was to demonstrate the usefulness of the integrated profile for voluntary muscle activity detection in the presence of spurious background spikes for SCI patients. Two onset detection methods (the sample entropy analysis and the integrated profile) were evaluated using both semi-synthetic and experimental surface EMG signals with spurious background spikes recorded from SCI patients. For all the examined signal to noise ratios, the integrated profile method was able to achieve comparable performance with the sample entropy analysis-based method but while taking significantly shorter running time (P< 0.001). The findings suggest the integrated profile method is robust with large involuntary spikes in the baseline signal and can highlight voluntary muscle contractions. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在发生神经损伤(例如脊髓损伤(SCI))之后,由于生理和外部/意外来源产生的假性非自愿尖峰,从肌电图(EMG)信号中进行自愿肌肉活动检测可能会出现问题。这项研究的目的是证明在SCI患者存在虚假背景尖峰的情况下,综合概况对于自愿性肌肉活动检测的有用性。使用半合成和实验表面肌电图信号以及从SCI患者记录的虚假背景尖峰,评估了两种发作检测方法(样品熵分析和积分分布)。对于所有检查的信噪比,集成配置文件方法能够实现与基于样本熵分析的方法相当的性能,但运行时间明显缩短(P <0.001)。研究结果表明,综合剖析方法在基线信号中出现较大的非自愿性尖峰时具有较强的鲁棒性,并且可以突出显示自愿性肌肉收缩。 (C)2015 Elsevier Ltd.保留所有权利。

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