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Simulating surfing with optimal control: sensor fusion for biomechanical analysis Open
Currently, no established biomechanical model exists for surfing. Musculoskeletal simulations provide valuable insights for athletes to enhance performance and prevent injuries using quantitative data such as joint angles, joint moments, a…
Simulating surfing with optimal control: Sensorfusion for biomechanical analysis Open
Currently, there is no established biomechanical model for surfing. Especially, musculoskeletal simulations can provide valuable insights for athletes to enhance performance and prevent injuries using quantitative data such as joint angles…
View article: A European network to develop virtual twin technology for personalized stroke management in atrial fibrillation: the TARGET consortium
A European network to develop virtual twin technology for personalized stroke management in atrial fibrillation: the TARGET consortium Open
Atrial fibrillation (AF) is a prevalent heart arrhythmia thatincreases stroke risk, leading to severe complications,high costs, and poor recovery outcomes. To address this,the European Union’s Horizon Europe research programme has funded t…
AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation Open
An endovascular guidewire manipulation is essential for minimally-invasive clinical applications; Percutaneous Coronary Intervention (PCI) is used to open narrowed coronary arteries and restore arterial blood flow to heart tissue, Mechanic…
AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation Open
Endovascular guidewire manipulation is essential for minimally-invasive clinical applications (Percutaneous Coronary Intervention (PCI), Mechanical thrombectomy techniques for acute ischemic stroke (AIS), or Transjugular intrahepatic porto…
Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data Open
Computational models of cardiac electrophysiology are promising tools for reducing the rates of non-response patients suitable for cardiac resynchronization therapy (CRT) by optimizing electrode placement. The majority of computational mod…
View article: Extrapolation of Ventricular Activation Times From Sparse Electroanatomical Data Using Graph Convolutional Neural Networks
Extrapolation of Ventricular Activation Times From Sparse Electroanatomical Data Using Graph Convolutional Neural Networks Open
Electroanatomic mapping is the gold standard for the assessment of ventricular tachycardia. Acquiring high resolution electroanatomic maps is technically challenging and may require interpolation methods to obtain dense measurements. These…
Personalized Computational Framework to Study Arrhythmia Mechanisms on Top of ECG Image-Detected Substrate Open
Comunicació presentada a: Computing in Cardiology Conference (CinC) celebrat del 23 al 26 de setembre de 2018 a Maastricht, Països Baixos.
Sph 1St Journal Open
Not yet published. Just to have it ready.