Artificial Intelligence for Hemodynamic Monitoring with a Wearable Electrocardiogram Monitor
Daphne E. Schlesinger,
Ridwan Alam,
Roey Ringel
et al.
Abstract:BackgroundThe ability to non-invasively measure left atrial pressure would facilitate the identification of patients at risk of pulmonary congestion and guide proactive heart failure care. Wearable cardiac monitors, which record single-lead electrocardiogram data, provide information that can be leveraged to infer left atrial pressures.MethodsWe developed a deep neural network using single-lead electrocardiogram data to determine when the left atrial pressure is elevated. The model was developed and internally… Show more
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