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ORCIDSarah Solbiati
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Books and Theses
- 2023
[b1]Sarah Solbiati:
Assessing stressors and electromechanical cardiac deconditioning induced by spaceflight analogues by novel biomarkers. Polytechnic University of Milan, Italy, 2023
Journal Articles
- 2022
- [j2]Sara Moccia, Sarah Solbiati
, Mahshad Khornegah, Federica F. S. Bossi, Enrico G. Caiani:
Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring. Comput. Methods Programs Biomed. 219: 106753 (2022) - 2020
- [j1]Claudia Floris, Sarah Solbiati, Federica Landreani, Gianfranco Damato, Bruno Lenzi, Valentino Megale, Enrico Gianluca Caiani:
Feasibility of Heart Rate and Respiratory Rate Estimation by Inertial Sensors Embedded in a Virtual Reality Headset. Sensors 20(24): 7168 (2020)
Conference and Workshop Papers
- 2024
- [c5]Michele Craighero, Sarah Solbiati, Federica Mozzini, Enrico G. Caiani, Giacomo Boracchi:
Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis. EMBC 2024: 1-4 - [c4]Sarah Solbiati, Saina Charkas, Federica Mozzini, Antonella Lo Mauro, Sara Bernasconi, Alessandra Angelucci, Andrea Aliverti, Diana Trojaniello, Enrico Gianluca Caiani:
Comparison of ECG-Free Algorithms for Heart Rate Computation From Head-BCG Signals Obtained With Smart Eyewear. MetroXRAINE 2024: 213-218 - [c3]Giuseppe Di Tursi, Sarah Solbiati, Claudio Pighini, Marcos V. L. Pivetta, Enrico Gianluca Caiani:
Monitoring Cardiac Electromechanical Activity Underwater Using Micro Electro Mechanical Systems. MetroXRAINE 2024: 219-224 - 2021
- [c2]Sarah Solbiati, Alessia Paglialonga, Lorenzo Costantini, Bostjan Simunic, Rado Pisot, Marco Narici, Enrico G. Caiani:
Assessing Cardiac Electro-Mechanical Deconditioning During Bed Rest Using Smartphone's Inertial Sensors. CinC 2021: 1-4 - 2020
- [c1]Sarah Solbiati, Alessia Paglialonga, Lorenzo Costantini, Enrico G. Caiani:
Evaluation of the Changes in RR and QT Circadian Rhythms in Bedridden Subjects. CinC 2020: 1-4
Informal and Other Publications
- 2024
- [i1]Michele Craighero, Sarah Solbiati, Federica Mozzini, Enrico G. Caiani, Giacomo Boracchi:
Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis. CoRR abs/2408.04439 (2024)
Coauthor Index
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