Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Type of loss</td><td class="align_center">Loss type</td><td class="align_center">Loss value</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Classification loss</td><td class="align_center">1.2836425</td></tr><tr><td class="align_left">2</td><td class="align_center">Regularization loss</td><td class="align_center">0.5324396</td></tr><tr><td class="align_left">3</td><td class="align_center">Localization loss</td><td class="align_center">0.19522505</td></tr><tr><td class="align_left">4</td><td class="align_center">Final total loss</td><td class="align_center">2.0113058</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Loss factors measured by SSD Inception V2.</div>

Advances in Human-Computer Interaction

tab7

Table 7

Table 7: Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano 