Training Convolutional Neural Networks on Simulated Photoplethysmography Data: Application to Bradycardia and Tachycardia Detection.
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DOI: 10.3389/fphys.2022.928098
Abstract: Objective: To develop a method for detection of bradycardia and ventricular tachycardia using the photoplethysmogram (PPG). Approach: The detector is based on a dual-branch convolutional neural network (CNN), whose input is the scalograms of the… read more here.
Keywords: ppg signals; convolutional neural; bradycardia tachycardia; detection ... See more keywords