PERPETUINI, DAVID

PERPETUINI, DAVID  

DIPARTIMENTO DI INGEGNERIA E GEOLOGIA  

Mostra records
Risultati 1 - 20 di 58 (tempo di esecuzione: 0.068 secondi).
Titolo Data di pubblicazione Autore(i) File
A Machine Learning Approach to Classify Driver Mental Workload as Assessed by Electroencephalography through Infrared Thermal Imaging 2022 Perpetuini, D.; Filippini, C.; Nocco, S.; Tritto, M.; Cardone, D.; Merla, A.
A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking 2021 Perpetuini, D.; Cardone, D.; Filippini, C.; Chiarelli, A. M.; Merla, A.
Age-related ocular surface modifications assessment combining thermal infrared and deep learning approach. 2021 Filippini, C.; Chiarelli, A. M.; Cardone, D.; Perpetuini, D.; Lorenza, B.; Agnifili, L.; Mastropasqua, L.; Merla, A.
Altered Microcirculation in Alzheimer’s Disease Assessed by Machine Learning Applied to Functional Thermal Imaging Data 2022 Perpetuini, D.; Filippini, C.; Zito, M.; Cardone, D.; Merla, A.
An overview of thermal infrared imaging-based screenings during pandemic emergencies 2021 Perpetuini, D.; Filippini, C.; Cardone, D.; Merla, A.
Assessing Feasibility of Cognitive Impairment Testing Using Social Robotic Technology Augmented with Affective Computing and Emotional State Detection Systems 2023 Russo, S.; Lorusso, L.; D'Onofrio, G.; Ciccone, F.; Tritto, M.; Nocco, S.; Cardone, D.; Perpetuini, D.; Lombardo, M.; Lombardo, D.; Sancarlo, D.; Greco, A.; Merla, A.; Giuliani, F.
Assessing the Impact of Electrosuit Therapy on Cerebral Palsy: A Study on the Users’ Satisfaction and Potential Efficacy 2023 Perpetuini, D.; Russo, E. F.; Cardone, D.; Palmieri, R.; De Giacomo, A.; Intiso, D.; Pellicano, F.; Pellegrino, R.; Merla, A.; Calabro, R. S.; Filoni, S.
Assessment of autonomic response in 6–12-month-old babies during the interaction with robot and avatar by means of thermal infrared imaging 2022 Filippini, C.; Cardone, D.; Perpetuini, D.; Chiarelli, A. M.; Petitto, L. A.; Merla, A.
Assessment of the autonomic response in Alzheimer's patients during the execution of memory tasks: A functional thermal imaging study 2018 Perpetuini, David; Cardone, Daniela; Bucco, Roberta; Zito, Michele; Merla, Arcangelo
Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach 2022 Filippini, C.; Di Crosta, A.; Palumbo, R.; Perpetuini, D.; Cardone, D.; Ceccato, I.; Di Domenico, A.; Merla, A.
Automated warping procedure for facial thermal imaging based on features identification in the visible domain 2021 Cardone, D.; Spadolini, E.; Perpetuini, D.; Filippini, C.; Chiarelli, A. M.; Merla, A.
Autonomic impairment in Alzheimer's disease is revealed by complexity analysis of functional thermal imaging signals during cognitive tasks 2019 Perpetuini, D.; Cardone, D.; Chiarelli, A. M.; Filippini, C.; Croce, P.; Zappasodi, F.; Rotunno, L.; Anzoletti, N.; Zito, M.; Merla, A.
Can Data-Driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue? 2023 Perpetuini, David; Formenti, Damiano; Cardone, Daniela; Trecroci, Athos; Rossi, Alessio; Di Credico, Andrea; Merati, Giampiero; Alberti, Giampietro; Di Baldassarre, Angela; Merla, Arcangelo
Can Functional Infrared Thermal Imaging Estimate Mental Workload in Drivers as Evaluated by Sample Entropy of the fNIRS Signal? 2021 Perpetuini, D.; Cardone, D.; Filippini, C.; Spadolini, E.; Mancini, L.; Chiarelli, A. M.; Merla, A.
Central and Peripheral Thermal Signatures of Brain-Derived Fatigue during Unilateral Resistance Exercise: A Preliminary Study 2022 Perpetuini, D.; Formenti, D.; Iodice, P.; Cardone, D.; Filippini, C.; Chiarelli, A. M.; Michielon, G.; Trecroci, A.; Alberti, G.; Merla, A.
Cerebral perfusion and blood–brain barrier assessment in brain trauma using contrast-enhanced near-infrared spectroscopy with indocyanine green: A review 2020 Forcione, M.; Chiarelli, A. M.; Davies, D. J.; Perpetuini, D.; Sawosz, P.; Merla, A.; Belli, A.
Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals 2022 Cardone, D.; Perpetuini, D.; Filippini, C.; Mancini, L.; Nocco, S.; Tritto, M.; Rinella, S.; Giacobbe, A.; Fallica, G.; Ricci, F.; Gallina, S.; Merla, A.
Complexity of frontal cortex fNIRS can support Alzheimer disease diagnosis in memory and visuo-spatial tests 2019 Perpetuini, David; Chiarelli, Antonio M.; Cardone, Daniela; Filippini, Chiara; Bucco, Roberta; Zito, Michele; Merla, Arcangelo
Convolutional neural network model for augmentation index prediction based on photoplethysmography 2021 Perpetuini, D.; Filippini, C.; Chiarelli, A. M.; Cardone, D.; Rinella, S.; Massimino, S.; Bianco, F.; Bucciarelli, V.; Vinciguerra, V.; Fallica, P.; Perciavalle, V.; Gallina, S.; Merla, A.
Convolutional neural networks for differential diagnosis of raynaud’s phenomenon based on hands thermal patterns 2021 Filippini, C.; Cardone, D.; Perpetuini, D.; Chiarelli, A. M.; Gualdi, G.; Amerio, P.; Merla, A.