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BioMed Research International
Volume 2016, Article ID 7051340, 11 pages
http://dx.doi.org/10.1155/2016/7051340
Research Article

Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement

1Institute of Industrial Technology and Automation (ITIA), National Research Council (CNR), Via Bassini 15, 20133 Milan, Italy
2University of Brescia, Via Branze 38, 25123 Brescia, Italy
3Department of Neurophysiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milan, Italy
4Villa Beretta Rehabilitation Center, Via Nazario Sauro 17, 23845 Costa Masnaga, Italy

Received 31 July 2015; Revised 20 November 2015; Accepted 23 November 2015

Academic Editor: Juan C. Moreno

Copyright © 2016 Marco Caimmi 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

Marco Caimmi, Elisa Visani, Fabio Digiacomo, et al., “Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement,” BioMed Research International, vol. 2016, Article ID 7051340, 11 pages, 2016. https://doi.org/10.1155/2016/7051340.