Performance of a Self-Paced Brain Computer Interface on Data Contaminated with Eye-Movement Artifacts and on Data Recorded in a Subsequent Session

<table>A demonstration of how using more than one neurological phenomenon can lead to improvement in the performance. (a) Brain states of the user (NC: no control; IC: intentional control), (b) the output of the “ideal” EOG detector (N: no artifact; Y: artifact-contaminated), (c) the output of the “ideal” EMG detector, (d) the output of the MRP-based SBCI (“1”: IC detected; “0”: NC detected), (e) the output of the CPBR-based SBCI, and (f) the output of the Hybrid BCI system.</table>

Computational Intelligence and Neuroscience

fig2

Figure 2

Figure 2: Performance of a Self-Paced Brain Computer Interface on Data Contaminated with Eye-Movement Artifacts and on Data Recorded in a Subsequent Session 

Figure 2 | Performance of a Self-Paced Brain Computer Interface on Data Contaminated with Eye-Movement Artifacts and on Data Recorded in a Subsequent Session 