FILIPPINI, CHIARA
FILIPPINI, CHIARA
DIPARTIMENTO DI NEUROSCIENZE, IMAGING E SCIENZE CLINICHE
A Machine Learning Approach to Classify Driver Mental Workload as Assessed by Electroencephalography through Infrared Thermal Imaging
2022-01-01 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
2021-01-01 Perpetuini, D.; Cardone, D.; Filippini, C.; Chiarelli, A. M.; Merla, A.
Abstract words processing induces parasympathetic activation: A thermal imaging study
2022-01-01 Paoletti, Melania; Fini, Chiara; Filippini, Chiara; Massari, Giovanna M; D'Abundo, Emilia; Merla, Arcangelo; Bellagamba, Francesca; Borghi, Anna M
Age-related ocular surface modifications assessment combining thermal infrared and deep learning approach.
2021-01-01 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
2022-01-01 Perpetuini, D.; Filippini, C.; Zito, M.; Cardone, D.; Merla, A.
An overview of thermal infrared imaging-based screenings during pandemic emergencies
2021-01-01 Perpetuini, D.; Filippini, C.; Cardone, D.; Merla, A.
Assessment of autonomic response in 6–12-month-old babies during the interaction with robot and avatar by means of thermal infrared imaging
2022-01-01 Filippini, C.; Cardone, D.; Perpetuini, D.; Chiarelli, A. M.; Petitto, L. A.; Merla, A.
Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach
2022-01-01 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
2021-01-01 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
2019-01-01 Perpetuini, D.; Cardone, D.; Chiarelli, A. M.; Filippini, C.; Croce, P.; Zappasodi, F.; Rotunno, L.; Anzoletti, N.; Zito, M.; Merla, A.
Can Functional Infrared Thermal Imaging Estimate Mental Workload in Drivers as Evaluated by Sample Entropy of the fNIRS Signal?
2021-01-01 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
2022-01-01 Perpetuini, D.; Formenti, D.; Iodice, P.; Cardone, D.; Filippini, C.; Chiarelli, A. M.; Michielon, G.; Trecroci, A.; Alberti, G.; Merla, A.
Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals
2022-01-01 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
2019-01-01 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
2021-01-01 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
2021-01-01 Filippini, C.; Cardone, D.; Perpetuini, D.; Chiarelli, A. M.; Gualdi, G.; Amerio, P.; Merla, A.
Data-driven assessment of cardiovascular ageing through multisite photoplethysmography and electrocardiography
2019-01-01 Chiarelli, A. M.; Bianco, F.; Perpetuini, D.; Bucciarelli, V.; Filippini, C.; Cardone, D.; Zappasodi, F.; Gallina, S.; Merla, A.
Differential pathlength factor in continuous wave functional near-infrared spectroscopy: Reducing hemoglobin's cross talk in high-density recordings
2019-01-01 Chiarelli, A. M.; Perpetuini, D.; Filippini, C.; Cardone, D.; Merla, A.
Driver drowsiness evaluation by means of thermal infrared imaging: Preliminary results
2021-01-01 Cardone, D.; Filippini, C.; Mancini, L.; Pomante, A.; Tritto, M.; Nocco, S.; Perpetuini, D.; Merla, A.
Driver Stress State Evaluation by Means of Thermal Imaging: A Supervised Machine Learning Approach Based on ECG Signal
2020-01-01 Cardone, Daniela; Perpetuini, David; Filippini, Chiara; Spadolini, Edoardo; Mancini, Lorenza; Chiarelli, ANTONIO MARIA; Merla, Arcangelo
| 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. | |
| Abstract words processing induces parasympathetic activation: A thermal imaging study | 2022 | Paoletti, Melania; Fini, Chiara; Filippini, Chiara; Massari, Giovanna M; D'Abundo, Emilia; Merla, Arcangelo; Bellagamba, Francesca; Borghi, Anna M | |
| 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. | |
| 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. | |
| 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 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. | |
| 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. | |
| Data-driven assessment of cardiovascular ageing through multisite photoplethysmography and electrocardiography | 2019 | Chiarelli, A. M.; Bianco, F.; Perpetuini, D.; Bucciarelli, V.; Filippini, C.; Cardone, D.; Zappasodi, F.; Gallina, S.; Merla, A. | |
| Differential pathlength factor in continuous wave functional near-infrared spectroscopy: Reducing hemoglobin's cross talk in high-density recordings | 2019 | Chiarelli, A. M.; Perpetuini, D.; Filippini, C.; Cardone, D.; Merla, A. | |
| Driver drowsiness evaluation by means of thermal infrared imaging: Preliminary results | 2021 | Cardone, D.; Filippini, C.; Mancini, L.; Pomante, A.; Tritto, M.; Nocco, S.; Perpetuini, D.; Merla, A. | |
| Driver Stress State Evaluation by Means of Thermal Imaging: A Supervised Machine Learning Approach Based on ECG Signal | 2020 | Cardone, Daniela; Perpetuini, David; Filippini, Chiara; Spadolini, Edoardo; Mancini, Lorenza; Chiarelli, ANTONIO MARIA; Merla, Arcangelo |