论文信息 - BoostEMD: An Extension of EMD Method and Its Application for Denoising of EMG Signals

BoostEMD: An Extension of EMD Method and Its Application for Denoising of EMG Signals

The paper presents a novel extension of the Huang’s Empirical Mode Decomposition (EMD) method, called BoostEMD, that allows calculating higher order Intrinsic Mode Functions (IMFs) that capture higher frequency empirical mode oscillations (empiquencies) in the EMG (electromyography) data. We describe the use of the second order IMFs for denoising physical action EMG signals. We demonstrate the efficiency of denoising by performing classification of EMG data before and after application of the denoising procedure as well as by evaluating properties of the extracted noise signal. DOI: http://dx.doi.org/10.5755/j01.eee.21.6.13763

[1] C. Grimbergen,et al. Investigation into the origin of the noise of surface electrodes , 2002, Medical and Biological Engineering and Computing.

[2] Chusak Limsakul,et al. Feature Extraction and Reduction of Wavelet Transform Coefficients for EMG Pattern Classification , 2012 .

[3] Catherine Marque,et al. Automatic detection of mode mixing in empirical mode decomposition using non-stationarity detection: application to selecting IMFs of interest and denoising , 2011 .

[4] Liqiong Tang,et al. Surface EMG Signal Amplification and Filtering , 2013 .

[5] Sirinee Thongpanja,et al. Mean and Median Frequency of EMG Signal to Determine Muscle Force based on Time- dependent Power Spectrum , 2013 .

[6] A. van Boxtel,et al. Optimal EMG signal bandwidth and interelectrode distance for the recording of acoustic, electrocutaneous, and photic blink reflexes. , 1998, Psychophysiology.

[7] Rongrong Fu,et al. Detection of Driving fatigue by using Noncontact EMG and ECG signals Measurement System , 2014, Int. J. Neural Syst..

[8] L. Cohen,et al. Time-frequency distributions-a review , 1989, Proc. IEEE.

[9] N. Huang,et al. A new view of nonlinear water waves: the Hilbert spectrum , 1999 .

[10] Sukhan Lee,et al. The control of a prosthetic arm by EMG pattern recognition , 1982, 1982 21st IEEE Conference on Decision and Control.

[11] Robertas Damaševičius,et al. Development of a concept-based EMG-based speller , 2015 .