ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions
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IEEE Transactions on Biomedical Engineering (TBME)
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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.
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