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BioMed Research International
Volume 2016, Article ID 3939815, 7 pages
http://dx.doi.org/10.1155/2016/3939815
Research Article

Data-Driven User Feedback: An Improved Neurofeedback Strategy considering the Interindividual Variability of EEG Features

Department of Biomedical Engineering, Hanyang University, Seoul 133-731, Republic of Korea

Received 27 April 2016; Accepted 25 July 2016

Academic Editor: Asode A. Shetty

Copyright © 2016 Chang-Hee Han 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.

Supplementary Material

The supplementary movie file demonstrates that the user of the neurofeedback system could experience wider ranges of feedback without any trainning sessions or pre-data acquisition sessions.

  1. Supplementary Material