A Method for Suppressing Electrical Stimulation Artifacts from Electromyography
A Method for Suppressing Electrical Stimulation Artifacts from Electromyography
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一种抑制肌电图电刺激伪影的方法
DOI：
10.1142/s0129065718500545
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发表时间：
2019-08-01
影响因子：
8
通讯作者：
Yang, Yuan
中科院分区：
文献类型：
--
作者：
Li, Yurong;Chen, Jun;Yang, Yuan
当表面肌电图（EMG）信号用于实时功能电刺激（FES）系统进行反馈控制时，电刺激产生的伪影是EMG信号处理的关键挑战。为了解决这一挑战，本研究提出了一种新的方法来抑制肌电驱动的闭环FES系统中的刺激伪影。该方法的灵感来自于一项实验研究，该研究比较了不同电流强度的电刺激产生的伪影。研究发现：(1)刺激伪影的峰值易受电流强度的影响；(2)不同电流强度下的尾迹成分相似。基于这些观察，该方法结合了消隐和模板减影策略来抑制刺激伪影。通过脉冲检测算法和对信号的一阶导数分析，自适应地确定抑制脉冲脉冲的消隐窗长度。利用自回归模型估计刺激伪影的尾部，作为自适应的伪影去除模板。在半合成数据集和实验数据集上对该方法进行了评估。在半合成数据集上的验证表明，该方法比经典的消隐方法具有更好的性能。在实验数据集上进行了验证，该方法大大降低了肌电图中刺激伪影的功率。结果表明，该方法可以有效抑制刺激伪影，同时保留有用的肌电信号，适用于肌电信号驱动的FES系统。
When surface electromyography (EMG) signal is used in a real-time functional electrical stimulation (FES) system for feedback control, the artifact from electrical stimulation is a key challenge for EMG signal processing. To address this challenge, this study proposes a novel method to suppress stimulation artifacts in the EMG-driven closed-loop FES system. The proposed method is inspired by an experimental study that compares artifacts generated by electrical stimulations with different current intensities. It is found that (1) spikes of stimulation artifacts are susceptible to the current intensity and (2) tailing components are similar under different current intensities. Based on these observations, the proposed method combines the blanking and template subtracting strategies for suppressing stimulation artifact. The length of blanking window for suppressing the stimulation spike is adaptively determined by a spike detection algorithm and the first-order derivative analysis of signal. An autoregressive model is used to estimate the tailing part of stimulation artifact, which is an adaptive template for subtracting the artifact. The proposed method is evaluated on both semi-synthetic and experimental datasets. Verified on the semi-synthetic dataset, the proposed method achieves better performance than the classic blanking method. Validated on the experimental dataset, the proposed method substantially decreases the power of stimulation artifact in the EMG. These results indicate that the proposed method can effectively suppress the stimulation artifact while retains the useful EMG signal for an EMG-driven FES system.