Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications

<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 class="align_left">Sensor</td><td class="align_center">Accuracy</td><td class="align_center">Resolution</td><td class="align_center">Current</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">MAX30102</td><td class="align_center">—</td><td class="align_center">18 bits</td><td class="align_center">Standby: 600 <i>μ</i>A<br/>IR LED: 20 mA<br/>RED LED: 20 mA</td></tr><tr><td class="align_left" colspan="4"><hr/></td></tr><tr><td class="align_left">DS18B20</td><td class="align_center">±0.5°C</td><td class="align_center">0.0625°C</td><td class="align_center">1 mA</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Summary of technical specifications for the utilized sensors [<a href="/journals/cin/2021/8016525/#B53" target="_blank">53</a>, <a href="/journals/cin/2021/8016525/#B54" target="_blank">54</a>].</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications 