Computational model predicts the hemodynamic response of patients following atrial fibrillation

Computational model predicts the hemodynamic response of patients following atrial fibrillation

Atrial fibrillation (AFib) is a cardiac disorder in which the chambers of the heart beat rapidly and irregularly. It's the most common type of arrhythmia and the leading cardiac cause of stroke.

Computational model helps personalize neurostimulation therapy for atrial fibrillation

Atrial fibrillation (AFib) is a cardiac disorder in which the chambers of the heart beat rapidly and irregularly. It's the most common type of arrhythmia and the leading cardiac cause of stroke.

Lehigh University Researchers Create Computational Model to Optimize

Atrial fibrillation (AFib), a prevalent cardiac arrhythmia characterized by rapid and irregular heartbeats, stands as the foremost cardiac cause of stroke worldwide. Despite the availability of a spectrum of treatments, ranging from pharmacological interventions to invasive surgical procedures, the quest for more effective and personalized therapies remains a critical objective in cardiovascular medicine. Projections from […]