Journal of Biomedical Science and Engineering
Vol.6 No.7B(2013), Paper ID 34816, 13
pages
DOI:10.4236/jbise.2013.67A2001
Local wavelet-based filtering of electromyographic signals to eliminate the electrocardiographic-induced artifacts in patients with spinal cord injury
Matthew Nitzken, Nihit Bajaj, Sevda Aslan, Georgy Gimel’farb, Ayman El-Baz, Alexander Ovechkin
BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, USA
BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, USA
Department of Neurological Surgery, University of Louisville, Louisville, USA;Frazier Rehab Institute, Louisville, USA
Department of Computer Science, The University of Auckland, Auckland, New Zealand
BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, USA
Department of Neurological Surgery, University of Louisville, Louisville, USA
Frazier Rehab Institute, Louisville, USA
Copyright © 2013 Matthew Nitzken, Nihit Bajaj, Sevda Aslan, Georgy Gimel’farb, Ayman El-Baz, Alexander Ovechkin et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Nitzken, M. , Bajaj, N. , Aslan, S. , Gimel’farb, G. , El-Baz, A. and Ovechkin, A. (2013) Local wavelet-based filtering of electromyographic signals to eliminate the electrocardiographic-induced artifacts in patients with spinal cord injury.
Journal of Biomedical Science and Engineering,
6, 1-13. doi:
10.4236/jbise.2013.67A2001.