Real Time Arrhythmia Monitoring and Classification Based on Edge Computing and DNN

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2021/5563338/figures/5563338.fig.007a.svgz" name="5563338.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Resnet</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/wcmc/volume-2021/5563338/figures/5563338.fig.007b.svgz" name="5563338.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Resnet+attention</td></tr></table>

<div>Confusion matrix of model ablation study.</div>

Wireless Communications and Mobile Computing

fig7

Figure 7

Figure 7: Real Time Arrhythmia Monitoring and Classification Based on Edge Computing and DNN 