Journals
U-Sleep: resilient to AASM guidelines
npj Digital Medicine 2023
Luigi Fiorillo, Giuliana Monachino, Julia van der Meer, Marco Pesce, Jan Warncke, Markus H. Schmidt, Claudio L.A. Bassetti, Athina Tzovara, Paolo Favaro, Francesca D. Faraci
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring
Sleep, 2023
Luigi Fiorillo, Davide Pedroncelli, Valentina Agostini, Paolo Favaro, Francesca Dalia Faraci
Journal of Neurology, 2022
Stefania Ancona, Francesca D. Faraci, Elina Khatab, Luigi Fiorillo, Oriella Gnarra, Tobias Nef, Claudio L. A. Bassetti & Panagiotis Bargiotas
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty Estimates
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021
Luigi Fiorillo, Paolo Favaro, Francesca D. Faraci
Addressing bias in big data and AI for health care: A call for open science
Patterns, 2021
Natalia Norori, Qiyang Hu, Florence M. Aellen, Francesca D. Faraci, Athina Tzovara
JMIR Mhealth Uhealth, 2021
Alessandro Mascheroni, Eun Kyoung Choe, Yuhan Luo, Michele Marazza, Clara Ferlito, Serena Caverzasio, Francesco Mezzanotte, Alain Kaelin-Lang, Francesca D. Faraci, Alessandro Puiatti, Pietro L. Ratti
Automated sleep scoring: A review of the latest approaches
Sleep Medicine Reviews, 2019
Luigi Fiorillo, Alessandro Puiatti, Michela Papandrea, Pietro-Luca Ratti, Paolo Favaro, Corinne Roth, Panagiotis Bargiotas, Claudio L. A. Bassetti, Francesca D. Faraci
A new prospective, home-based monitoring of motor symptoms in Parkinson’s disease
Journal of Parkinson’s Disease, 2019
Pietro L. Ratti, Francesca D. Faraci, Sandra Hackethal, Alessandro Mascheroni, Clara Ferlito, Serena Caverzasio, Ninfa Amato, Eun Kyoung Choe, Yuhan Luo, Paulo-Edson Nunes-Ferreira, Salvatore Galati, Alessandro Puiatti, Alain Kaelin-Lang
Using barometric pressure data to recognize vertical displacement activities on smartphones
Computer Communications, 2016
Salvatore Vanini, Francesca Faraci, Alan Ferrari, Silvia Giordano
Conferences
Automatic sleep scoring: The relationship between age and sleep
Journal of Sleep Research, 2022
Giuliana Monachino, Luigi Fiorillo, Michal Bechny, Julia van der Meer, Athina Tzovara, Francesca D. Faraci
Towards personalized burnout prevention system: a probabilistic approach for analysis of data from wearable devices with subjective feedback. A preliminary study
Journal of Sleep Research, 2022
Michal Bechny, Radoslava Švihrová, Luis G. Arango, Andrea Baldassari, Max Grossenbacher, Yuri Ilchenko, Francesca D. Faraci
Journal of Sleep Research, 2020
T. Aumont, P.-E. Nunes-Ferreira, J.-M. Lina, F. D. Faraci, M. Drame, A. Puiatti, A. Kaelin-Lang, J. Carrier, P.-L. Ratti
The complex relation between sleep and motor performance in Parkinson’s disease
Journal of Sleep Research, 2020
M. Lucchini, L. Fiorillo, S. Scafa, C. Roth, A. Vancheri, F. D. Faraci
Individualized thresholds in sleep spindle detection
Journal of Sleep Research, 2020
M. Lucchini, L. Fiorillo, S. Scafa, C. Roth, A. Vancheri, F. D. Faraci
Personalized Sleep Spindle Detection in Whole Night Polysomnography
42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
S. Scafa, L. Fiorillo, M. Lucchini, C. Roth, V. Agostini, A. Vancheri, F. D. Faraci
42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
L. Fiorillo, M. Wand, I. Marino, P. Favaro, F. D. Faraci
Sensor data synchronization in a IoT environment for infants motricity measurement
6th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT), 2019
S. Sguazza, A. Puiatti, S. Bernaschina, F. D. Faraci, G. Ramelli, V. D’Apuzzo, E. Rossini, M. Papandrea
AutoPlay: smart games for evolutionary screening under 14 months
Swiss Medical Weekly, 2019
E. Rossini, F. D. Faraci, M. Papandrea, A. Puiatti, S. Bernaschina, G.P. Ramelli
Improving clinical data collection at patients’ home in Parkinson’s disease: The Sleep Fit app
Movement Disorders, 2018
A. Mascheroni, C. Ferlito, S. Hackethal, S. Caverzasio, E. K. Choe, Y. Luo, F. D. Faraci, A. Kaelin-Lang, A. Puiatti, P. L. Ratti, M. Marazza
Prospective, home-based assessment of motor symptoms in Parkinson’s disease by mean of the Sleep Fit app: A potential new clinical approach
Movement Disorders, 2018
P. L. Ratti, F. D. Faraci, A. Mascheroni, S. Hackethal, C. Ferlito, S. Caverzasio, E. K. Choe, Y. Luo, P. E. Ferreira, A. Puiatti, A. Kaelin-Lang
Prospective, home-based assessment of subjective sleep quality in Parkinson’s disease
Journal of Sleep Research, 2018
P. L. Ratti, F. D. Faraci, A. Mascheroni, S. Hackethal, C. Ferlito, S. Caverzasio, E. K. Choe, Y. Luo, P. E. Ferreira, A. Puiatti, A. Kaelin-Lang
Sleep fit: a new app to assess sleep symptoms in Parkinson’s disease
Journal of Sleep Research, 2018
A. Mascheroni, C. Ferlito, S. Hackethal, S. Caverzasio, E. K. Choe, Y. Luo, M. Marazza, A. Kaelin-Lang, F. D. Faraci, A. Puiatti, P. L. Ratti
Autoplay: a smart toys-kit for an objective analysis of children ludic behavior and development
IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2018
F. D. Faraci, M. Papandrea, A. Puiatti, S. Agustoni, S. Giulivi, V. D’Apuzzo, S. Giordano, F. Righi, O. Barberis, E. Thommen, E. Rossini
Bedtime to morning variation of mobility after nocturnal sleep in Parkinson’s disease
Sleep Medicine, 2017
P. L. Ratti, F. D. Faraci, S. Hackethal, M. Pereno, C. Ferlito, A. Mascheroni, S. Caverzasio, S. Bonoli, L. Guglielmetti, N. Amato, A. Puiatti, A. Kaelin-Lang
Theses
PhD
- Automatic sleep scoring, deep learning and physician supervision. Universität Bern, 2022. Luigi Fiorillo, Paolo Favaro, Francesca D. Faraci.
MSc
- A comparative analysis between standard polysomnographic data and in-ear-EEG signals. Politecnico di Torino, 2023. Gianpaolo Palo, Valentina Agostini, Francesca D. Faraci, Luigi Fiorillo.
- Evaluation of synthetic ECG signals generated with a Generative Adversarial Network. Politecnico di Torino, 2023. Michele Marino, Valentina Agostini, Francesca D. Faraci, Beatrice Zanchi, Giuliana Monachino.
- ECG signal denoising for wearable devices . Politecnico di Torino, 2023. Andrea Ravera, Valentina Agostini, Francesca D. Faraci, Giuliana Monachino.
- Uncertainty quantification in biomedical Deep Learning models. Politecnico di Torino, 2022. Giulio Quaglia, Valentina Agostini, Francesca D. Faraci, Michal Bechny.
- Brugada syndrome identification based on P-wave characteristics: a Machine Learning approach. Politecnico di Torino, 2021. Beatrice Zanchi, Valentina Agostini, Francesca D. Faraci.
- Automatic sleep staging with multi-scored datasets via deep learning. Politecnico di Torino, 2021. Davide Pedroncelli, Giuliana Monachino, Valentina Agostini, Francesca D. Faraci, Luigi Fiorillo.
- Clustering sleep EEG recordings to improve the automated sleep scoring procedure. Politecnico di Torino, 2020. Giuliana Monachino, Valentina Agostini, Francesca D. Faraci, Luigi Fiorillo.
- Machine learning algorithms applied to polysomnographic data for sleep diseases analysis. Politecnico di Milano, 2020. Alessia Buonaugurio, Sergio Cerutti, Luigi Fiorillo, Francesca D. Faraci.
- Development of customized algorithms for image analysis to monitor dry eye syndrome. Politecnico di Milano, 2020. Raffaele Spiezia, Anna Maria Bianchi, Francesca D. Faraci.
- Interactive transfer learning for automated sleep scoring optimization. Politecnico di Milano, 2020. Italo Marino, Anna Maria Bianchi, Luigi Fiorillo, Francesca D. Faraci.
- Personalized sleep spindle detection in night polysomnography. Politecnico di Torino, 2020. Stefano Scafa, Valentina Agostini, Luigi Fiorillo, Francesca D. Faraci.
BSc
- Graphical tool for the analysis of sleep parameters from multiple databases. Scuola Universitaria Professionale della Svizzera Italiana, 2022. Stefano Beccarini, Giuliana Monachino, Francesca D. Faraci.
- Automatic Sleep Staging via Deep Learning. Scuola Universitaria Professionale della Svizzera Italiana, 2021. Francesco Moro, Giuliana Monachino, Luigi Fiorillo, Francesca D. Faraci.
- Fuzzy Diagnosis Support for Parkinson and Sleep Disorders. Scuola Universitaria Professionale della Svizzera Italiana, 2021. Andrea Vietti, Alberto Vancheri, Francesca D. Faraci.
- Bio-Fingerprinting applied to polysomnography. Scuola Universitaria Professionale della Svizzera Italiana, 2019. Marta Lucchini, Luigi Fiorillo, Francesca D. Faraci.
- Web based graph library. Scuola Universitaria Professionale della Svizzera Italiana, 2019. Olmo Barberis, Francesca D. Faraci, Nicola Rizzo.
- Playing with data analytics. Scuola Universitaria Professionale della Svizzera Italiana, 2019. Manjali Manjali, Michela Papandrea, Emmanuelle Rossini, Francesca D. Faraci.