A Comparison Study on Multidomain EEG Features for Sleep Stage Classification

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cin/volume-2017/4574079/figures/4574079.fig.002a.svgz" name="4574079.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Frequency domain</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cin/volume-2017/4574079/figures/4574079.fig.002b.svgz" name="4574079.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Nonlinear analysis</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/cin/volume-2017/4574079/figures/4574079.fig.002c.svgz" name="4574079.fig.002c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Time domain</td></tr></table>

<div>Comparison of the mean values of extracted features from frequency domain, nonlinear dynamics, and time domain among the sleep stages.</div>

Computational Intelligence and Neuroscience

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Figure 2

Figure 2: A Comparison Study on Multidomain EEG Features for Sleep Stage Classification 