KecNet: A Light Neural Network for Arrhythmia Classification Based on Knowledge Reinforcement

<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">AAMI classes</td><td class="align_center">MIT-BIH classes</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Normal beat (N)</td><td class="align_center">NOR, NE, AE, LBBB, RBBB</td></tr><tr><td class="align_left">Supraventricular ectopic beat (S)</td><td class="align_center">AP, APB, APC, NP, SP</td></tr><tr><td class="align_left">Ventricular ectopic beat (V)</td><td class="align_center">VF, VE, PVC</td></tr><tr><td class="align_left">Fusion beat (F)</td><td class="align_center">F</td></tr><tr><td class="align_left">Unknown (Q)</td><td class="align_center">UN, FPN, P</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Heartbeat classes’ mapping between the AAMI protocol and the MIT-BIH database.</div>

Journal of Healthcare Engineering

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Table 2

Table 2: KecNet: A Light Neural Network for Arrhythmia Classification Based on Knowledge Reinforcement 