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

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Dataset</td><td class="align_center">Scenario</td><td class="align_center">Number of images</td><td class="align_center">Resolution after preprocessing</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">NTU RGB + D</td><td class="align_center">Lab</td><td class="align_center">1500</td><td class="align_center">1240 × 600</td></tr><tr><td class="align_left">Custom RMS</td><td class="align_center">Home, office, lab</td><td class="align_center">1500</td><td class="align_center">1067 × 800</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Complete dataset consisting of chest pain posture, partial fall, and complete fall.</div>

Advances in Human-Computer Interaction

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Table 3

Table 3: Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano 