Applying a Locally Linear Embedding Algorithm for Feature Extraction and Visualization of MI-EEG

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/js/volume-2016/7481946/figures/7481946.fig.004a.svgz" name="7481946.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>3D visualization</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/js/volume-2016/7481946/figures/7481946.fig.004b.svgz" name="7481946.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>2D visualization</td></tr></table>

<div>Visualization of the time-frequency analysis for MI-EEG.</div>

Journal of Sensors

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Figure 4

Figure 4: Applying a Locally Linear Embedding Algorithm for Feature Extraction and Visualization of MI-EEG 