Key result
An ECG-based atrioventricular node model accurately modeled 88% of 30-minute ECG segments from AF patients, with sympathetic stimulation during tilt testing decreasing refractory periods.
A novel ECG-based atrioventricular node model can accurately characterize ventricular response during atrial fibrillation and detect changes in nodal properties during sympathetic stimulation.
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May enable non-invasive AV nodal monitoring in AF; leaves open prospective validation before clinical use.
Corino et al. (2011) studied Atrial fibrillation (n=36). Atrioventricular node model and ECG-based estimation method was evaluated on Accurate modeling of ECG segments (estimated PDF and empirical PDF at least 80% in agreement). An ECG-based atrioventricular node model accurately modeled 88% of 30-minute ECG segments from AF patients, with sympathetic stimulation during tilt testing decreasing refractory periods.
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