Wearable Sensors with Internet of Things (IoT) and Vocabulary-Based Acoustic Signal Processing for Monitoring Children’s Health

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Category of database</td><td class="align_center">Input samples</td><td class="align_center">Input bandwidth</td><td class="align_center">Overall sampling (KHz)</td><td class="align_center">Data structure</td><td class="align_center">Length of data</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Sleep of the child</td><td class="align_center">50</td><td class="align_center">0.001 Hz–50 Hz</td><td class="align_center">1.2</td><td class="align_center">32 bits</td><td class="align_center">8 minutes</td></tr><tr><td class="align_left">Abnormal rate of the child from PhysioNet database</td><td class="align_center">50</td><td class="align_center">0.001 Hz–50 Hz</td><td class="align_center">1.0</td><td class="align_center">8 bits</td><td class="align_center">7 minutes</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

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Table 1

Table 1: Wearable Sensors with Internet of Things (IoT) and Vocabulary-Based Acoustic Signal Processing for Monitoring Children’s Health 