FastICA peel-off for ECG interference removal from surface EMG.
FastICA peel-off for ECG interference removal from surface EMG.
复制标题
FastICA 剥离用于消除表面肌电图的心电图干扰
DOI：
10.1186/s12938-016-0196-8
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发表时间：
2016-06-13
影响因子：
3.9
通讯作者：
Zhou P
中科院分区：
文献类型：
--
作者：
Chen M;Zhang X;Chen X;Zhu M;Li G;Zhou P
背景表面肌电信号的多通道记录很容易受到心电干扰的影响，特别是当表面肌电信号放置在靠近心脏的肌肉上时。不同通道的心电干扰虽然表现出波形的空间变异性，但具有相同的激发时刻。利用FastICA估计的放电信息，通过“剥离”处理可以将心电信号干扰与体表肌电分离。结果实验结果表明，该方法能有效地去除心电信号干扰，且对表面肌电信号幅度和频率的失真较小。通过实验数据验证了该方法的有效性。结论FastICA剥离方法可以作为一种新的、实用的方法来消除多通道肌电记录中的心电干扰。
BackgroundMulti-channel recording of surface electromyographyic (EMG) signals is very likely to be contaminated by electrocardiographic (ECG) interference, specifically when the surface electrode is placed on muscles close to the heart.MethodsA novel fast independent component analysis (FastICA) based peel-off method is presented to remove ECG interference contaminating multi-channel surface EMG signals. Although demonstrating spatial variability in waveform shape, the ECG interference in different channels shares the same firing instants. Utilizing the firing information estimated from FastICA, ECG interference can be separated from surface EMG by a “peel off” processing. The performance of the method was quantified with synthetic signals by combining a series of experimentally recorded “clean” surface EMG and “pure” ECG interference.ResultsIt was demonstrated that the new method can remove ECG interference efficiently with little distortion to surface EMG amplitude and frequency. The proposed method was also validated using experimental surface EMG signals contaminated by ECG interference.ConclusionsThe proposed FastICA peel-off method can be used as a new and practical solution to eliminating ECG interference from multichannel EMG recordings.