Digital filter design for peak detection of surface EMG.

A simple Low-Pass Differential (LPD) filter is often used for the Motor Unit Action Potential (MUAP) peak detection in needle EMG decomposition. Decomposition of surface EMG is much more difficult since surface EMG is more mixed than needle EMG. A successful peak detection of MUAPs is a first important step for EMG decomposition. We found that a simple LPD filter is not suitable for surface MUAP detection; instead the Weighted Low-Pass Differential (WLPD) filters are proposed. The filter performance is analyzed based on different window selection and varying MUAPs from simulated and recorded surface EMG. The sinusoidal WLPD filter is found to have better SNR improving factors, and to be more robust under the varying conditions.

[1]  Kevin C. McGill,et al.  Automatic Decomposition of the Clinical Electromyogram , 1985, IEEE Transactions on Biomedical Engineering.

[2]  R. Viswanathan,et al.  An introduction to statistical signal processing with applications , 1979 .

[3]  Shiro Usui,et al.  Digital Low-Pass Differentiation for Biological Signal Processing , 1982, IEEE Transactions on Biomedical Engineering.

[4]  Isak Gath,et al.  Techniques for Improving the Selectivity of Electromyographic Recordings , 1976, IEEE Transactions on Biomedical Engineering.

[5]  John E. Desmedt,et al.  Computer-aided electromyography , 1983 .

[6]  Carlo J. De Luca,et al.  Physiology and Mathematics of Myoelectric Signals , 1979 .

[7]  Steen Andreassen,et al.  Recording from a Single Motor Unit During Strong Effort , 1978, IEEE Transactions on Biomedical Engineering.

[8]  S. Halvorsen,et al.  EFFECTS OF HYPOTHALAMIC LESIONS ON THE ERYTHROPOIETIC RESPONSE TO HYPOXIA IN RABBITS. , 1964, Acta physiologica Scandinavica.

[9]  M.H. Hassoun,et al.  NNERVE: Neural Network Extraction of Repetitive Vectors for Electromyography. I. Algorithm , 1994, IEEE Transactions on Biomedical Engineering.

[10]  Ronald S. Lefever,et al.  A Procedure for Decomposing the Myoelectric Signal Into Its Constituent Action Potentials - Part I: Technique, Theory, and Implementation , 1982, IEEE Transactions on Biomedical Engineering.

[11]  M.H. Hassoun,et al.  NNERVE: Neural Network Extraction of Repetitive Vectors for Electromyography. II. Performance analysis , 1994, IEEE Transactions on Biomedical Engineering.

[12]  Shaojun Xiao,et al.  Volume conductor simulation and neural network decomposition of surface EMG , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.