Ultra-Low Power Estimation of Heart Rate Under Physical Activity Using a Wearable Photoplethysmographic System. - Elisabetta De Giovanni; Srinivasan Murali; Francisco J. Rincón; David Atienza (DSD, 2016)

A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset. - Elisabetta De Giovanni; Amir Aminifar; Adrian Luca; Sasan Yazdani; Jean-Marc Vesin; David Atienza (CinC, 2017)

A Hierarchical Cardiac Rhythm Classification Methodology Based on Electrocardiogram Fiducial Points. - Dionisije Sopic; Elisabetta De Giovanni; Amir Aminifar; David Atienza (CinC, 2017)

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm. - Lara Orlandic; Elisabetta De Giovanni; Adriana Arza 001; Sasan Yazdani; Jean-Marc Vesin; David Atienza (EMBC, 2019)

Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous Platforms. - Elisabetta De Giovanni; Fabio Montagna; Benoît W. Denkinger; Simone Machetti; Miguel Peón-Quirós; Simone Benatti; Davide Rossi; Luca Benini; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors. - Elisabetta De Giovanni; Adriana Arza Valdés; Miguel Peón-Quirós; Amir Aminifar; David Atienza (IEEE Trans. Emerg. Top. Comput., 2021)

ECG in High Intensity Exercise Dataset. - Elisabetta De Giovanni; Tomás Teijeiro; David Meier; Grégoire P. Millet; David Atienza (Zenodo, 2021)

Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. - Elisabetta De Giovanni; Tomás Teijeiro; Grégoire P. Millet; David Atienza (IEEE Trans. Biomed. Eng., 2023)