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A Stand-Alone Augmented Reality Intervention for Chronic Pain using Embodied Systolic Stimulation

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation.

Active force generation contributes to the complexity of spontaneous activity and to the response to stretch of murine cardiomyocyte cultures

Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium

AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals

Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications

Deep learning-based reduced order models in cardiac electrophysiology

Hemodynamics of ageing, ventricular-arterial coupling and noninvasive assessment of key hemodynamical and cardiac quantities

Signal processing techniques for cardiovascular monitoring applications using conventional and video-based photoplethysmography