Mobile Personal Health Monitoring for Automated Classification of Electrocardiogram Signals in Elderly

<table class="fixed-width table-group" id="tab3"><tr><td><table class="table"><colgroup><col style="width:9.15em"/><col style="width:5.71em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left"><b>Evaluation metrics</b></td><td class="align_center"><span width=""><b>Values (</b><svg height="8.99234pt" id="M1" style="vertical-align:-0.4673605pt" version="1.1" viewbox="-0.0498162 -8.52498 9.96449 8.99234" width="9.96449pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M594 629L561 652L159 -9L190 -32L594 629ZM194 635C92 635 49 534 49 453C49 374 92 272 193 272C295 272 338 374 338 454S295 635 194 635ZM193 605C257 605 265 504 265 453C265 405 257 302 194 302C133 302 122 403 122 454S133 605 193 605ZM567 351C465 351 421 250 421 169C421 90 465 -12 566 -12S710 90 710 170S667 351 567 351ZM566 322C628 322 637 221 637 169C637 121 628 18 567 18S494 119 494 170C494 223 506 322 566 322Z" id="g190-38"></path></g></svg><b>)</b></span></td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left"><b>Sensitivity</b></td><td class="align_center">100</td></tr><tr><td class="align_left"><b>Specificity</b></td><td class="align_center">96.6</td></tr><tr><td class="align_left"><b>Accuracy</b></td><td class="align_center">97</td></tr><tr><td class="align_left"><b>Precision</b></td><td class="align_center">81.3</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Total test performance of the mobile PHM system.</div>

Computational and Mathematical Methods in Medicine

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Table 3

Table 3: Mobile Personal Health Monitoring for Automated Classification of Electrocardiogram Signals in Elderly 