Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors

<div class="floats-full-page floats-full-page-other"><h2>Table 7</h2><div class="floats-full-page-caption">Selection of quality criteria parameters.</div><div class="floats-full-page-content"><table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="13"><hr /></td></tr><tr><td align="left" rowspan="3">EEG data sets</td><td align="center" colspan="4">   PRD &lt;1.0 </td><td align="center" colspan="4">   1≤ PRD&lt; 3 </td><td align="center" colspan="4">   3≤ PRD&lt; 5 </td></tr><tr><td align="center" colspan="4">   PSNR≥ 52 db</td><td align="center" colspan="4">   40 db≤PSNR≤50 db</td><td align="center" colspan="4">   PSNR≤ 40db</td></tr><tr><td align="center">BPS</td><td align="center"><span style="width: 11.45px;"><svg height="11.6125" id="M79" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 11.45 11.6125" width="11.45" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.55)"><path d="M649 676l-22 -187l-33 -2q3 56 -12 94q-8 20 -31.5 26.5t-86.5 6.5h-74l-90 -491q-4 -23 -6 -36.5t1 -25t7 -16.5t18 -9t27 -5t41 -3l-6 -28h-286l4 28q68 5 84 18.5t28 76.5l94 491h-55q-74 0 -100.5 -6t-41.5 -23q-24 -29 -54 -98l-32 1q32 98 53 188h22q7 -18 15 -22&#10;t37 -4h417q23 0 33.5 5t25.5 21h23z" id="x1D447"></path></g>
</svg></span></td><td align="center">QL</td><td align="center">CC</td><td align="center">BPS</td><td align="center"><span style="width: 11.45px;"><svg height="11.6125" id="M80" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 11.45 11.6125" width="11.45" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.55)"><path d="M649 676l-22 -187l-33 -2q3 56 -12 94q-8 20 -31.5 26.5t-86.5 6.5h-74l-90 -491q-4 -23 -6 -36.5t1 -25t7 -16.5t18 -9t27 -5t41 -3l-6 -28h-286l4 28q68 5 84 18.5t28 76.5l94 491h-55q-74 0 -100.5 -6t-41.5 -23q-24 -29 -54 -98l-32 1q32 98 53 188h22q7 -18 15 -22&#10;t37 -4h417q23 0 33.5 5t25.5 21h23z" id="x1D447"></path></g>
</svg></span></td><td align="center">QLLL</td><td align="center">CC</td><td align="center">BPS</td><td align="center"><span style="width: 11.45px;"><svg height="11.6125" id="M81" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 11.45 11.6125" width="11.45" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.55)"><path d="M649 676l-22 -187l-33 -2q3 56 -12 94q-8 20 -31.5 26.5t-86.5 6.5h-74l-90 -491q-4 -23 -6 -36.5t1 -25t7 -16.5t18 -9t27 -5t41 -3l-6 -28h-286l4 28q68 5 84 18.5t28 76.5l94 491h-55q-74 0 -100.5 -6t-41.5 -23q-24 -29 -54 -98l-32 1q32 98 53 188h22q7 -18 15 -22&#10;t37 -4h417q23 0 33.5 5t25.5 21h23z" id="x1D447"></path></g>
</svg></span></td><td align="center">QL</td><td align="center">CC</td></tr><tr><td align="center" colspan="13"><hr /></td></tr><tr><td align="left">DS1</td><td align="center">7.95</td><td align="center">2</td><td align="center">Q1</td><td align="center">0.98</td><td align="center">6.52</td><td align="center">6</td><td align="center">Q2</td><td align="center">0.92</td><td align="center">5.62</td><td align="center">7</td><td align="center">Q3</td><td align="center">0.83</td></tr><tr><td align="left">DS2</td><td align="center">7.01</td><td align="center">3</td><td align="center">Q1</td><td align="center">0.965</td><td align="center">5.92</td><td align="center">8</td><td align="center">Q2</td><td align="center">0.92</td><td align="center">5.71</td><td align="center">6</td><td align="center">Q3</td><td align="center">0.89</td></tr><tr><td align="left">DS3</td><td align="center">6.62</td><td align="center">2</td><td align="center">Q1</td><td align="center">0.98</td><td align="center">5.5</td><td align="center">3</td><td align="center">Q2</td><td align="center">0.96</td><td align="center">4.32</td><td align="center">5</td><td align="center">Q3</td><td align="center">0.88</td></tr><tr class="table-tr"><td colspan="13"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 7 | Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors

title

Table 7: Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors

description

Table 7

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