Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm

<table class="table-group" id="tab21"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">BSS methods</td><td align="center">Correlation between vEOG and estimated eye blink (IC<sub>1</sub>)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">EBSS</td><td align="center">0.9956</td></tr><tr><td align="left">EFICA</td><td align="center">0.9511</td></tr><tr><td align="left">Stone</td><td align="center">0.9134</td></tr><tr><td align="left">FICA</td><td align="center">0.8926</td></tr><tr><td align="left">SOBI</td><td align="center">0.8819</td></tr><tr><td align="left">JADE</td><td align="center">0.8001</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Performance measure based on cross-correlation measurement.

Mathematical Problems in Engineering

tab21

Table 21

Table 21: Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm 