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Neural Plasticity
Volume 2016, Article ID 3489540, 5 pages
http://dx.doi.org/10.1155/2016/3489540
Research Article

Progressive FastICA Peel-Off and Convolution Kernel Compensation Demonstrate High Agreement for High Density Surface EMG Decomposition

1Biomedical Engineering Program, University of Science and Technology of China, Hefei, China
2Guangdong Work Injury Rehabilitation Center, Guangzhou, China
3Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia
4Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, Houston, TX, USA
5TIRR Memorial Hermann Research Center, Houston, TX, USA

Received 30 March 2016; Accepted 1 August 2016

Academic Editor: Brian C. Clark

Copyright © 2016 Maoqi Chen 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

Maoqi Chen, Ales Holobar, Xu Zhang, and Ping Zhou, “Progressive FastICA Peel-Off and Convolution Kernel Compensation Demonstrate High Agreement for High Density Surface EMG Decomposition,” Neural Plasticity, vol. 2016, Article ID 3489540, 5 pages, 2016. https://doi.org/10.1155/2016/3489540.