Biosignal Analysis
We develop signal-processing and artificial-intelligence methods to acquire, improve and interpret biomedical recordings, with a particular focus on cardiovascular signals and personalized physiological monitoring.

Our work addresses ECG and optical pulse quality, wearable monitoring and sleep-apnea assessment. In atrial fibrillation, we extract and characterize atrial activity, study how arrhythmias begin and terminate, and identify markers associated with treatment response. These complementary approaches support research into patient stratification and clinical decision support, with attention to reproducibility, recording artifacts and generalization beyond the data used to develop each method.
This line is headed by José J. Rieta. Explore our results, research projects and available services.



