[1] Hogrel J.Y., Clinical applications of surface electromyography in neuromuscular disorders; Neurophysiol Clin, 2005; 35: 59-71.
[2] Ershad N., Kahrizi S., Firoozabadi M., Zadeh S.F., Evaluation of trunk muscle activity in chronic low back pain patients and healthy individuals during holding loads; J Back Musculoskelet Rehabil, 2009; 22: 165-172.
[3] Naji M., Firoozabadi M., Kahrizi S., Evaluation of EMG features of trunk muscles during flexed postures; 19th Iranian Conference on Biomedical Engineering, 2012: 71-74.
[4] Clancy E.A., Morin E.L., Merletti R., Sampling, noise-reduction and amplitude estimation issues in surface electromyography; J ElectromyogrKinsiol, 2002; 12: 1-16.
[5] Redfern M.S., Hughes R.E., Chaffin D.B., High-pass filtering to remove electrocardiographic interference from torso EMG recordings; Clin. Biomech., 1993; 8: 44-48.
[6] Drake J.D.M., Callaghan J.P., Elimination of electrocardiogram contamination from electromyogram signals: an evaluation of currently used removal techniques; J ElectromyogrKinsiol, 2006; 16: 175-187.
[7] Bartolo A., Dzwonczyk R.R., Roberts C., Goldman E., Description and validation of a technique for the removal of ECG contamination from diaphragmatic EMG signal; Med. Biol. Eng. Comput., 1996; 34: 76–81.
[8] Bloch R., Subtraction of electrocardiographic signal from respiratory electromyogram; J. Appl. Physiol., 1983; 55: 619–623.
[9] Deng Y., Wolf W., Schnell R., New aspects to event-synchronous cancellation of ECG interference: an application of the method in diaphragmatic EMG signals; IEEE Trans Biomed Eng, 2000; 47(9): 1177-1184.
[10] Zhou P., Kuiken T.A., Eliminating cardiac contamination from myoelectric control signals developed by targeted muscle reinnervation; Physiol Meas., 2006; 27: 1311-1327.
[11] Huang N.E., Shen Z., Long S.R., Wu M.C., Shih H.H., Zheng Q., Yen N., Tung C.C., Liu H.H., The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis; Proc. R. Soc. Lond, 1998; 454: 903-995.
[12] Andrade A.O., Nasuto S., Kyberd P., Sweeney-Reed C.M., Kanijn F.R.V., EMG signal filtering based on empirical mode decomposition; Biomed Signal Proc and Cont, 2006; 1: 44-55.
[13] Liang H., Lin Z., McCallum R.W., Artifact reduction in electrogastrogram based on empirical mode decomposition method; Med BiolEngComput, 2000; 38: 35-41.
[14] Luo J., Zhu Y., Magnin I.E., Denoising by averaging reconstructed images: application to magnetic resonance images; IEEE Trans Biomed Eng, 2009; 56(3): 1177-1184.
)