E3S Web Conf.
Volume 12, 2016i-DUST 2016 – Inter-Disciplinary Underground Science & Technology
|Number of page(s)||9|
|Published online||05 December 2016|
Ultra-low Noise EEG at LSBB: New results
1 Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
2 Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich
3 International Collaboration On Repair Discoveries (ICORD), Blusson Spinal Cord Centre, 818 West Avenue, Vancouver, BC, V5Z 1M9, Canada
a Corresponding author: firstname.lastname@example.org
In this study, we investigate functional correlates of gamma band oscillations in low-noise EEG signals acquired in the LSBB shielded capsule and compare them to signals acquired in a typical hospital environment. Using a research-grade EEG acquisition system, we acquired 64-channel EEG recordings from three volunteers performing several cognitive, sensory, and motor tasks in both LSBB and hospital settings. Time-frequency analysis on the signals acquired in both environments reveals that the task-induced increase in gamma band (>30 Hz) energy relative to the resting state EEG is more prominent in signals acquired at LSBB, suggesting that task-specific changes in EEG are better reflected and more readily detected in signals acquired at LSBB. These results further demonstrate the potential value of low-noise settings such as the LSBB for conducting challenging high-frequency EEG studies.
© The Authors, published by EDP Sciences 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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