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Elisabetta De Giovanni
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Journal Articles
- 2023
- [j3]Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza:
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. IEEE Trans. Biomed. Eng. 70(3): 941-953 (2023) - 2021
- [j2]Elisabetta De Giovanni, Adriana Arza Valdés, Miguel Peón Quirós, Amir Aminifar, David Atienza:
Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors. IEEE Trans. Emerg. Top. Comput. 9(4): 1654-1666 (2021) - 2020
- [j1]Elisabetta De Giovanni, Fabio Montagna, Benoît W. Denkinger, Simone Machetti, Miguel Peón Quirós, Simone Benatti, Davide Rossi, Luca Benini, David Atienza:
Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3821-3832 (2020)
Conference and Workshop Papers
- 2019
- [c4]Lara Orlandic, Elisabetta De Giovanni, Adriana Arza, Sasan Yazdani, Jean-Marc Vesin, David Atienza:
REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm. EMBC 2019: 3341-3347 - 2017
- [c3]Elisabetta De Giovanni, Amir Aminifar, Adrian Luca, Sasan Yazdani, Jean-Marc Vesin, David Atienza:
A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset. CinC 2017 - [c2]Dionisije Sopic, Elisabetta De Giovanni, Amir Aminifar, David Atienza:
A Hierarchical Cardiac Rhythm Classification Methodology Based on Electrocardiogram Fiducial Points. CinC 2017 - 2016
- [c1]Elisabetta De Giovanni, Srinivasan Murali, Francisco J. Rincón, David Atienza:
Ultra-Low Power Estimation of Heart Rate Under Physical Activity Using a Wearable Photoplethysmographic System. DSD 2016: 553-560
Data and Artifacts
- 2021
- [d1]Elisabetta De Giovanni, Tomás Teijeiro, David Meier, Grégoire P. Millet, David Atienza:
ECG in High Intensity Exercise Dataset. Zenodo, 2021
Informal and Other Publications
- 2021
- [i1]Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza:
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. CoRR abs/2112.04369 (2021)
Coauthor Index
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