Zobrazeno 1 - 10
of 123
pro vyhledávání: '"FIORILLO, LUIGI"'
Autor:
Palo, Gianpaolo, Fiorillo, Luigi, Monachino, Giuliana, Bechny, Michal, Walti, Michel, Meier, Elias, di Ruffia, Francesca Pentimalli Biscaretti, Melnykowycz, Mark, Tzovara, Athina, Agostini, Valentina, Faraci, Francesca Dalia
Study Objectives: Polysomnography (PSG) currently serves as the benchmark for evaluating sleep disorders. Its discomfort makes long-term monitoring unfeasible, leading to bias in sleep quality assessment. Hence, less invasive, cost-effective, and por
Externí odkaz:
http://arxiv.org/abs/2401.10107
Autor:
Bechny, Michal, Monachino, Giuliana, Fiorillo, Luigi, van der Meer, Julia, Schmidt, Markus H., Bassetti, Claudio L. A., Tzovara, Athina, Faraci, Francesca D.
Purpose: This study aims to enhance the clinical use of automated sleep-scoring algorithms by incorporating an uncertainty estimation approach to efficiently assist clinicians in the manual review of predicted hypnograms, a necessity due to the notab
Externí odkaz:
http://arxiv.org/abs/2312.14996
Autor:
Fiorillo, Luigi, Monachino, Giuliana, van der Meer, Julia, Pesce, Marco, Warncke, Jan D., Schmidt, Markus H., Bassetti, Claudio L. A., Tzovara, Athina, Favaro, Paolo, Faraci, Francesca D.
Publikováno v:
npj Digital Medicine (2023)
AASM guidelines are the result of decades of efforts aiming at standardizing sleep scoring procedure, with the final goal of sharing a worldwide common methodology. The guidelines cover several aspects from the technical/digital specifications,e.g.,
Externí odkaz:
http://arxiv.org/abs/2209.11173
Autor:
Fiorillo, Luigi, Pedroncelli, Davide, Agostini, Valentina, Favaro, Paolo, Faraci, Francesca Dalia
Publikováno v:
Sleep, 2023
Study Objectives: Inter-scorer variability in scoring polysomnograms is a well-known problem. Most of the existing automated sleep scoring systems are trained using labels annotated by a single scorer, whose subjective evaluation is transferred to th
Externí odkaz:
http://arxiv.org/abs/2207.01910
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 2076-2085
Deep learning is widely used in the most recent automatic sleep scoring algorithms. Its popularity stems from its excellent performance and from its ability to directly process raw signals and to learn feature from the data. Most of the existing scor
Externí odkaz:
http://arxiv.org/abs/2108.10600
Autor:
Monachino, Giuliana, Zanchi, Beatrice, Fiorillo, Luigi, Conte, Giulio, Auricchio, Angelo, Tzovara, Athina, Faraci, Francesca Dalia
Publikováno v:
In Computers in Biology and Medicine December 2023 167
La monografia tematica raccoglie le relazioni e comunicazioni del Convegno di Perugia, indetto dall'Agi il 25 gennaio 2016 attentamente coordinate da Michele Cerreta e Maurizio Riommi in modo tale da fornire una rassegna completa, esauriente ed aggio
Akademický článek
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Autor:
Fiorillo, Luigi, Puiatti, Alessandro, Papandrea, Michela, Ratti, Pietro-Luca, Favaro, Paolo, Roth, Corinne, Bargiotas, Panagiotis, Bassetti, Claudio L., Faraci, Francesca D.
Publikováno v:
In Sleep Medicine Reviews December 2019 48