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A theoretical model using nonlinear dynamics can evaluate ECG signals to detect chaotic behavior during atrial fibrillation and potentially anticipate crises.
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Ionescu et al. (2021) studied Atrial Fibrillation. Nonlinear dynamics mathematical procedures was evaluated on Differentiation of atrial fibrillation from normal rhythm using nonlinear dynamics.
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