Removing ECG noise from surface EMG signals using adaptive filtering

Surface electromyograms (EMGs) are valuable in the pathophysiological study and clinical treatment for dystonia. These recordings are critically often contaminated by cardiac artefact. Our objective of this study was to evaluate the performance of an adaptive noise cancellation filter in removing electrocardiogram (ECG) interference from surface EMGs recorded from the trapezius muscles of patients with cervical dystonia. Performance of the proposed recursive-least-square adaptive filter was first quantified by coherence and signal-to-noise ratio measures in simulated noisy EMG signals. The influence of parameters such as the signal-to-noise ratio, forgetting factor, filter order and regularization factor were assessed. Fast convergence of the recursive-least-square algorithm enabled the filter to track complex dystonic EMGs and effectively remove ECG noise. This adaptive filter procedure proved a reliable and efficient tool to remove ECG artefact from surface EMGs with mixed and varied patterns of transient, short and long lasting dystonic contractions.

[1]  L. Mucke,et al.  A network dysfunction perspective on neurodegenerative diseases , 2006, Nature.

[2]  Tipu Z. Aziz,et al.  A dominant bursting electromyograph pattern in dystonic conditions predicts an early response to pallidal stimulation , 2006, Journal of Clinical Neuroscience.

[3]  E. Herz,et al.  DYSTONIA: I. HISTORICAL REVIEW; ANALYSIS OF DYSTONIC SYMPTOMS AND PHYSIOLOGIC MECHANISMS INVOLVED , 1944 .

[4]  D Chaffin,et al.  High-pass filtering to remove electrocardiographic interference from torso EMG recordings. , 1993, Clinical biomechanics.

[5]  C Marque,et al.  Adaptive filtering for ECG rejection from surface EMG recordings. , 2005, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[6]  Zhizhong Wang,et al.  Noise reduction based on ICA decomposition and wavelet transform for the extraction of motor unit action potentials , 2006, Journal of Neuroscience Methods.

[7]  John-Stuart Brittain,et al.  Optimal spectral tracking—With application to speed dependent neural modulation of tibialis anterior during human treadmill walking , 2009, Journal of Neuroscience Methods.

[8]  Andrew J Lees,et al.  Patterns of EMG–EMG coherence in limb dystonia , 2004, Movement disorders : official journal of the Movement Disorder Society.

[9]  A Bartolo,et al.  Analysis of diaphragm EMG signals: comparison of gating vs. subtraction for removal of ECG contamination. , 1996, Journal of applied physiology.

[10]  Pierre-Yves Gumery,et al.  Filtering of non-stationary electromyographic signals of respiratory muscles , 1992 .

[11]  E. Kwatny,et al.  Description and validation of an ECG removal procedure for EMGdi power spectrum analysis. , 1986, Journal of applied physiology.

[12]  John Yianni,et al.  Deep Brain Stimulation for Dystonia , 2004, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[13]  M. Hallett,et al.  The pathophysiology of primary dystonia. , 1998, Brain : a journal of neurology.

[14]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[15]  H. Nazeran,et al.  Reducing power line interference in digitised electromyogram recordings by spectrum interpolation , 2004, Medical and Biological Engineering and Computing.

[16]  F.C. Morabito,et al.  Neural-ICA and wavelet transform for artifacts removal in surface EMG , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

[17]  Javier Navallas-Irujo,et al.  Filter design for cancellation of baseline-fluctuation in needle EMG recordings , 2006, Comput. Methods Programs Biomed..

[18]  E A Clancy,et al.  Estimation and application of EMG amplitude during dynamic contractions. , 2001, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[19]  R Bloch Subtraction of electrocardiographic signal from respiratory electromyogram. , 1983, Journal of applied physiology: respiratory, environmental and exercise physiology.

[20]  Zschorlich Vr,et al.  Digital filtering of EMG-signals. , 1989 .

[21]  Shouyan Wang,et al.  Use of surface electromyography to assess and select patients with idiopathic dystonia for bilateral pallidal stimulation. , 2006, Journal of neurosurgery.

[22]  J. Stein,et al.  Physiological and harmonic components in neural and muscular coherence in Parkinsonian tremor , 2006, Clinical Neurophysiology.

[23]  A. Lozano,et al.  Globus pallidus deep brain stimulation for generalized dystonia: Clinical and PET investigation , 1999, Neurology.

[24]  John F. Stein,et al.  subthalamic nucleus , 2004 .

[25]  J. Stein,et al.  The sensory and motor representation of synchronized oscillations in the globus pallidus in patients with primary dystonia. , 2008, Brain : a journal of neurology.

[26]  Hualou Liang,et al.  Removal of ECG contamination from diaphragmatic EMG by nonlinear filtering , 2005 .

[27]  J. Stein,et al.  Different mechanisms may generate sustained hypertonic and rhythmic bursting muscle activity in idiopathic dystonia , 2006, Experimental Neurology.

[28]  Ping Zhou,et al.  Real time ECG artifact removal for myoelectric prosthesis control , 2007, Physiological measurement.

[29]  A. Boxtel,et al.  Optimal signal bandwidth for the recording of surface EMG activity of facial, jaw, oral, and neck muscles. , 2001 .

[30]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[31]  J. Bowden,et al.  Spectral analysis of human inspiratory diaphragmatic electromyograms. , 1979, Journal of applied physiology: respiratory, environmental and exercise physiology.

[32]  P. Brown,et al.  EEG–EMG, MEG–EMG and EMG–EMG frequency analysis: physiological principles and clinical applications , 2002, Clinical Neurophysiology.

[33]  Andreas Kupsch,et al.  Deep brain stimulation in dystonia , 2003, Journal of Neurology.

[34]  Andrea A. Kühn,et al.  Involvement of Human Basal Ganglia In Offline Feedback Control of Voluntary Movement , 2006, Current Biology.