Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Class label</td><td class="align_center">Record</td><td class="align_center">Number of samples</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Normal beat</td><td class="align_center">205</td><td class="align_center">400000</td></tr><tr><td class="align_left">RBBB arrhythmia</td><td class="align_center">118</td><td class="align_center">400200</td></tr><tr><td class="align_left">Atrial arrhythmia</td><td class="align_center">232</td><td class="align_center">311600</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The number of training samples according to each class label sampled at 360 Hz and the corresponding record in the MIT/BIH database.</div>

Journal of Healthcare Engineering

tab2

Table 2

Table 2: Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming 