ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions
Statistical, time–varying modeling of arrhythmias, muscle noise, motion artifacts, PQ/QT adaptation, respiration is introduced to increase the complexity of simulated ECGs, well suited for data augmentation in machine learning.
read more