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Journal of Healthcare Engineering
Volume 5, Issue 3, Pages 261-274
Research Article

Myoelectric Pattern Identification of Stroke Survivors Using Multivariate Empirical Mode Decomposition

Xu Zhang1 and Ping Zhou1,2

1Biomedical Engineering Program, University of Science and Technology of China, Hefei, Anhui, China
2Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center at Houston, and TIRR Memorial Hermann Research Center, Houston, Texas, USA

Received 1 August 2013; Accepted 1 April 2014

Copyright © 2014 Hindawi Publishing Corporation. 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.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Yi Zhang, Peng Xu, Peiyang Li, Keyi Duan, Yuexin Wen, Qin Yang, Tao Zhang, and Dezhong Yao, “Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals,” BioMedical Engineering OnLine, vol. 16, no. 1, 2017. View at Publisher · View at Google Scholar