Elisabetta De Giovanni

According to our database, Elisabetta De Giovanni authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Drowsiness-Aware Adaptive Autonomous Braking System based on Deep Reinforcement Learning for Enhanced Road Safety.

Hossem Eddine Hafidi, Elisabetta De Giovanni, Teodoro Montanaro, Ilaria Sergi, Massimo de Vittorio, Luigi Patrono

CoRR, April, 2026

Human-centered and context-aware smart ML-based IoT framework for online fatigue detection: A real-world study of football training.

Abdelkarim Mamen, Elisabetta De Giovanni, Teodoro Montanaro, Ilaria Sergi, Luigi Patrono

Internet Things, 2026

2023

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., March, 2023

2021

ECG in High Intensity Exercise Dataset.

Elisabetta De Giovanni, Tomás Teijeiro, David Meier, Grégoire P. Millet, David Atienza

Dataset, November, 2021

System-level Design of Adaptive Wearable Sensors for Health and Wellness Monitoring.

Elisabetta De Giovanni

PhD thesis, 2021

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

2020

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

2019

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm.

Lara Orlandic, Elisabetta De Giovanni, Adriana Arza, Sasan Yazdani, Jean-Marc Vesin, David Atienza

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

A Hierarchical Cardiac Rhythm Classification Methodology Based on Electrocardiogram Fiducial Points.

Dionisije Sopic, Elisabetta De Giovanni, Amir Aminifar, David Atienza

Proceedings of the Computing in Cardiology, 2017

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

Proceedings of the Computing in Cardiology, 2017

2016

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

Proceedings of the 2016 Euromicro Conference on Digital System Design, 2016