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The Applied Signal Processing Group (ASPG) at EPFL, led by Dr. Jean-Marc Vesin, focuses on various applications including Electrocardiogram (ECG) analysis for atrial fibrillation, intracardiac electrograms, EEG, e-health monitoring for obesity and newborn care, and cardiac signal processing. ASPG's research involves developing deep learning-based architectures for atrial activity extraction, investigating atrial therapies using biophysical models, and developing closed-loop pacing strategies for atrial arrhythmias. They also work on financial time series analysis and portfolio optimization. ASPG's contributions include novel algorithms for automatic detection of atrial activations, discrimination of farfield from nearfield bipolar voltage electrograms, and prediction of catheter ablation outcomes in persistent atrial fibrillation.