Enhanced sleep staging with artificial intelligence: a validation study of new software for sleep scoring

Autor: Massimiliano Grassi, Silvia Daccò, Daniela Caldirola, Giampaolo Perna, Koen Schruers, Archie Defillo

Publikováno v: Frontiers in Artificial Intelligence, Vol 6 (2023)

Manual sleep staging (MSS) using polysomnography is a time-consuming task, requires significant training, and can lead to significant variability among scorers. STAGER is a software program based on machine learning algorithms that has been developed

Externí odkaz: https://doaj.org/article/cf9fe73279a444a0a7197619f2e9aa3c

Cardiorespiratory Assessments in Panic Disorder Facilitated by Wearable Devices: A Systematic Review and Brief Comparison of the Wearable Zephyr BioPatch with the Quark-b2 Stationary Testing System

Autor: Daniela Caldirola, Silvia Daccò, Massimiliano Grassi, Alessandra Alciati, William M. Sbabo, Domenico De Donatis, Giovanni Martinotti, Domenico De Berardis, Giampaolo Perna

Publikováno v: Brain Sciences, Vol 13, Iss 3, p 502 (2023)

Abnormalities in cardiorespiratory measurements have repeatedly been found in patients with panic disorder (PD) during laboratory-based assessments. However, recordings performed outside laboratory settings are required to test the ecological validit

Externí odkaz: https://doaj.org/article/811c5f21efec49e0a9e2d2223385dea7

'The Italian Study on Recovery 2' Phase 1: Psychometric Properties of the Recovery Assessment Scale (RAS), Italian Validation of the Recovery Assessment Scale

Autor: Ileana Boggian, Dario Lamonaca, Marta Ghisi, Gioia Bottesi, Alessandro Svettini, Luigi Basso, Katia Bernardelli, Silvia Merlin, Robert Paul Liberman, S.I.R. 2 group, Tommaso Maniscalco, Laura Barbieri, Anna Boggian, Alessandra Palmieri, Claudia Menegazzi, Chiara Dal Cero, Piccione Gabriella, Saggioro, Sotirios Balanikas, Petra Zambelli, Silvia Bridi, Sabrina Doimo, Roberto Tovazzi, Riccardo Sabatelli, Andrea Parma, Gianfranco Cuccato, Alessandra Capani, Luca Balboni, Alexandra Baggio, Mario Degli Stefani, Josè Mannu, Raffaella Musillo, Ruggero Brazzale, Barbara Garbo, Stefano Zanolini, Laura Andolfo, Alessandra Belfontali, Ileana Rodofile, Roberta Tessari, Jessica Geremia, Flavio Franceschi, Laura Lizza, Jennifer Montagnoli, Franco Veltro, Antonio Barrea, Alessia Pica, Irene Pontarelli, Domenico Semisa, Patrizia Fracchiolla, Anna Maria Lerario, Stefania Campana, Mariella Durante, Paolo Peloso, Alessandra Polimo, Simona Gotelli, Lucia Valentini, Lorenza Marinozzi, Stefania Benintende, Maria Frova, Giuseppe Rossi, Roberta Rossi, Giulia Signorini, Filomena Maffullo, Giampaolo Perna, Giovanna Vanni, Daniela Caldirola, Wilma Micieli, Achille Motta, Maddalena Pinti, Paola Noseda, Chiara Piazza, Fabrizio Panozzo, Debora Leardini, Pietro Nigro, Paola Clemente, Tiziana De Donatis, Marialisa Moramarco, Enrica Miriam Rossi, Vanda Bui, Flavia Aldi, Ugo Palomba, Giulio Corrivetti, Carmine Martino, Gaetano Pinto, Maria Rosaria Lapenna, Serafino De Giorgi, Paola Calò, Massimo Viola, Fabiola Mengoli, Irene Tondi, Maria P. Fontana

Publikováno v: Frontiers in Psychiatry, Vol 10 (2020)

BackgroundThe achievement of recovery is related to the notion of developing personal potential and restoring a legitimate social role, even against the backdrop of mental illness limitations. It is still difficult to fully understand this highly sub

Externí odkaz: https://doaj.org/article/936d85ef5f6b4fe3947bb2b14677ff2c

A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures

Autor: Massimiliano Grassi, Nadine Rouleaux, Daniela Caldirola, David Loewenstein, Koen Schruers, Giampaolo Perna, Michel Dumontier, Alzheimer's Disease Neuroimaging Initiative

Publikováno v: Frontiers in Neurology, Vol 10 (2019)

Background: Despite the increasing availability in brain health related data, clinically translatable methods to predict the conversion from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD) are still lacking. Although MCI typically precede

Externí odkaz: https://doaj.org/article/8743b1a71f5a4fe8b53fd0ad1ad2867e

Is panic disorder a disorder of physical fitness? A heuristic proposal [version 1; referees: 2 approved]

Autor: Giampaolo Perna, Daniela Caldirola

Publikováno v: F1000Research, Vol 7 (2018)

Currently, panic disorder (PD) is considered a mental disorder based on the assumptions that panic attacks (PAs) are “false alarms” that arise from abnormally sensitive defense systems in the central nervous system and that PD is treated with the

Externí odkaz: https://doaj.org/article/dffefcf5e465483b88bb5d23365ba0dc