Analysis of surface EMG baseline for detection of hidden muscle activity.

Analysis of surface EMG baseline for detection of hidden muscle activity.
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分析表面肌电图基线以检测隐藏的肌肉活动

DOI:
10.1088/1741-2560/11/1/016011
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发表时间:
2014-02
影响因子:
4
通讯作者:
Zhou P
Zhou P
中科院分区:
工程技术2区
文献类型:
--
作者:
Zhang X;Zhou P

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Objective.本研究探讨了在表面肌电(EMG)基线中检测隐藏肌肉活动的可行性。Approach.功率谱密度(PSD)分析和多尺度熵(MSE)分析。这两种分析都应用于表面EMG基线的计算机模拟,其中存在(代表活动数据)或不存在(代表参考数据)隐藏的肌肉活动,以及健康对照和肌萎缩性侧索硬化症(ALS)受试者的表面电极阵列EMG基线记录。主要结果。虽然模拟的参考数据和活动数据在时域中没有产生明显的差异,但它们在频率和信号复杂度域中表现出显著的差异,具有PSD和MSE分析。对于使用汇总数据的比较,当PSD和MSE分析应用于健康对照和ALS受试者的表面电极阵列EMG基线记录时,也观察到这种差异,这表明在时域中没有可区分的差异。与PSD分析相比,MSE分析似乎更敏感地检测两组之间的表面EMG基线差异。意义这些发现暗示了ALS受试者的表面EMG基线记录中存在隐藏的肌肉活动。为了促进所提出的分析作为一个有用的诊断或解释工具,未来的研究是必要的,以评估隐藏的肌肉活动的病理生理学性质或起源,以及在个体受试者水平的基线差异。
Objective. This study explored the feasibility of detecting hidden muscle activity in surface electromyogram (EMG) baseline. Approach. Power spectral density (PSD) analysis and multi-scale entropy (MSE) analysis were used. Both analyses were applied to computer simulations of surface EMG baseline with the presence (representing activity data) or absence (representing reference data) of hidden muscle activity, as well as surface electrode array EMG baseline recordings of healthy control and amyotrophic lateral sclerosis (ALS) subjects. Main results. Although the simulated reference data and the activity data yielded no distinguishable difference in the time domain, they demonstrated a significant difference in the frequency and signal complexity domains with the PSD and MSE analyses. For a comparison using pooled data, such a difference was also observed when the PSD and MSE analyses were applied to surface electrode array EMG baseline recordings of healthy control and ALS subjects, which demonstrated no distinguishable difference in the time domain. Compared with the PSD analysis, the MSE analysis appeared to be more sensitive for detecting the difference in surface EMG baselines between the two groups. Significance. The findings implied the presence of a hidden muscle activity in surface EMG baseline recordings from the ALS subjects. To promote the presented analysis as a useful diagnostic or investigatory tool, future studies are necessary to assess the pathophysiological nature or origins of the hidden muscle activity, as well as the baseline difference at the individual subject level.
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