Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left">Methods</td><td align="center">1NN-ED</td><td align="center">1NN-ERP</td><td align="center">1NN-TWED</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">AER (%)</td><td align="center">13.35</td><td align="center">11.28 </td><td align="center">10.84 </td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparison of AERs obtained by using 1NN-ED, 1NN-ERP, and 1NN-TWED.

Computational and Mathematical Methods in Medicine

tab2

Table 2

Table 2: Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel 