Analyzing EEG of Quasi-Brain-Death Based on Dynamic Sample Entropy Measures

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="618743.fig.003a" src="https://static.hindawi.com/articles/cmmm/volume-2013/618743/figures/618743.fig.003a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>DApEn versus DSampEn for coma patients</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="618743.fig.003b" src="https://static.hindawi.com/articles/cmmm/volume-2013/618743/figures/618743.fig.003b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>DApEn versus DSampEn for brain death patients</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="618743.fig.003c" src="https://static.hindawi.com/articles/cmmm/volume-2013/618743/figures/618743.fig.003c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Results for a single patient</td></tr></table></td></tr></table>

<table>Dynamic complexity measure for two different cases (a) versus (b) and a patient has two states (c).</table>

Computational and Mathematical Methods in Medicine

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Figure 3

Figure 3: Analyzing EEG of Quasi-Brain-Death Based on Dynamic Sample Entropy Measures 