Comparison of Baseline Cepstral Vector and Composite Vectors in the Automatic Seizure Detection Using Probabilistic Neural Networks

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Classification problem</td><td align="center">Average accuracy%</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">1</td><td align="center">99.4</td></tr><tr><td align="left">2</td><td align="center">97.2</td></tr><tr><td align="left">3</td><td align="center">97.2</td></tr><tr><td align="left">4</td><td align="center">98.5</td></tr><tr><td align="left">5</td><td align="center">96.6</td></tr><tr><td align="left">6</td><td align="center">97.9</td></tr><tr><td align="left">7</td><td align="center">96.0</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

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International Scholarly Research Notices

tab3

Table 3

Table 3: Comparison of Baseline Cepstral Vector and Composite Vectors in the Automatic Seizure Detection Using Probabilistic Neural Networks 