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Onset of ventricular tachycardia (VT) is clinically significant, including as a trigger to defibrillator implants. In this paper, we propose a reliable technique to detect such onset using convolutional neural networks (CNNs). The proposed CNN adds convolution and pooling layers below the input layer and above the hidden and output layers of usual neural network (NN). Such layers would learn suitable...
Can reliable telecardiology be achieved at low bandwidth cost? In response, we propose a detector at the user end so that only beats found to be anomalous are transmitted to a diagnostic center, where all received beats are correctly (re)classified. In this framework, high reliability is achieved by detectors with high sensitivity. Having laid the design framework, we then realize desired high-sensitivity...
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