Single-Channel, Steady State Visually Evoked Potential-based Brain Computer Interface: a Proof of Principle for Biomedical Daily Use

Leopoldo Angrisani, Pasquale Arpaia, Deborah Casinelli, Nicola Moccaldi
<span title="">2018</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="" style="color: black;">Journal of Physics, Conference Series</a> </i> &nbsp;
In this work, the authors propose a low-cost, portable, and comfortable, singlechannel Brain Computer Interface, based on Steady-State Visual-Evoked Potential with open source hardware and low computational cost algorithms, for daily use. The system is proved to be capable of overcoming the following state-of-the-art drawbacks: (i) the number of electrodes: a high number of electrodes increases the quality but is less comfortable for the user; (ii) the quality of the signal recorded in the
more &raquo; ... area of interest, typically covered with hair. At this aim, the authors propose: (i) the adoption of a single differential channel acquisition, in this case only three electrodes are used for the recording of the brain signal; (ii) the use of spring loaded pins electrodes in scalp area covered with hair to improve the contact and, as a consequence, the quality of recorded signal. The system as a whole is then tested on a group of people in order to validate its performance in terms of reached accuracy.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1088/1742-6596/1065/13/132005</a> <a target="_blank" rel="external noopener" href="">fatcat:epgk3vnorjazbgzhqxasujtgf4</a> </span>
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