Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/jhe/volume-2017/9674712/figures/9674712.fig.007a.svgz" name="9674712.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>ROC curve for DWT-based approach</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/jhe/volume-2017/9674712/figures/9674712.fig.007b.svgz" name="9674712.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>ROC curve for SWT-based approach</td></tr></table>

<div>ROC plot comparison for CCA and GECCA (a) based on DWT and (b) based on SWT.</div>

Journal of Healthcare Engineering

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Figure 7

Figure 7: Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal 