An Optimization Study of Estimating Blood Pressure Models Based on Pulse Arrival Time for Continuous Monitoring

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Selection factor</td><td class="align_center">Number</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Total number (M, F)</td><td class="align_center">12 (9, 3)</td></tr><tr><td class="align_left">Age (years)</td><td class="align_center">25.3 ± 4.1</td></tr><tr><td class="align_left">Height (cm)</td><td class="align_center">168.5 ± 7.4</td></tr><tr><td class="align_left">Body mass (kg)</td><td class="align_center">60.4 ± 9.4</td></tr><tr><td class="align_left">BMI (kg/m<sup>2</sup>)</td><td class="align_center">21.2 ± 2.1</td></tr><tr><td class="align_left">SBP (mm·Hg)</td><td class="align_center">118.37 ± 12.95</td></tr><tr><td class="align_left">DBP (mm·Hg)</td><td class="align_center">69.40 ± 8.79</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Characteristics of the subjects.</div>

Journal of Healthcare Engineering

tab2

Table 2

Table 2: An Optimization Study of Estimating Blood Pressure Models Based on Pulse Arrival Time for Continuous Monitoring 