Sfoglia per Autore
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.
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.
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.
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
Modelling impulse response function of functional infrared imaging for general linear model analysis of autonomic activity
2019-01-01 Perpetuini, D.; Cardone, D.; Filippini, C.; Chiarelli, A. M.; Merla, A.
Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review
2020-01-01 Filippini, C.; Perpetuini, D.; Cardone, D.; Chiarelli, A. M.; Merla, A.
Facilitating the Child–Robot Interaction by Endowing the Robot with the Capability of Understanding the Child Engagement: The Case of Mio Amico Robot
2020-01-01 Filippini, C.; Spadolini, E.; Cardone, D.; Bianchi, D.; Preziuso, M.; Sciarretta, C.; del Cimmuto, V.; Lisciani, 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
Working memory decline in Alzheimer’s disease is detected by complexity analysis of multimodal EEG-fnirs
2020-01-01 Perpetuini, D.; Chiarelli, A. M.; Filippini, C.; Cardone, D.; Croce, P.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A.
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.
Evidence of neurovascular un-coupling in mild alzheimer’s disease through multimodal eeg-fnirs and multivariate analysis of resting-state data
2021-01-01 Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Filippini, C.; Cardone, D.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; 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.
Prediction of state anxiety by machine learning applied to photoplethysmography data
2021-01-01 Perpetuini, D.; Chiarelli, A. M.; Cardone, D.; Filippini, C.; Rinella, S.; Massimino, S.; Bianco, F.; Bucciarelli, V.; Vinciguerra, V.; Fallica, P.; Perciavalle, V.; Gallina, S.; Conoci, S.; 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.
An overview of thermal infrared imaging-based screenings during pandemic emergencies
2021-01-01 Perpetuini, D.; Filippini, C.; Cardone, D.; 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.
Is It Possible to Estimate Average Heart Rate from Facial Thermal Imaging?
2021-01-01 Perpetuini, David; Di Credico, Andrea; Filippini, Chiara; Izzicupo, Pascal; Cardone, Daniela; Chiacchiaretta, Piero; Ghinassi, Barbara; Di Baldassarre, Angela; Merla, Arcangelo
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.
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.
The Prediction of Running Velocity during the 30–15 Intermittent Fitness Test Using Accelerometry-Derived Metrics and Physiological Parameters: A Machine Learning Approach
2021-01-01 Di Credico, Andrea; Perpetuini, David; Chiacchiaretta, Piero; Cardone, Daniela; Filippini, Chiara; Gaggi, Giulia; Merla, Arcangelo; Ghinassi, Barbara; Di Baldassarre, Angela; Izzicupo, Pascal
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
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. | |
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. | |
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. | |
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 | |
Modelling impulse response function of functional infrared imaging for general linear model analysis of autonomic activity | 2019 | Perpetuini, D.; Cardone, D.; Filippini, C.; Chiarelli, A. M.; Merla, A. | |
Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review | 2020 | Filippini, C.; Perpetuini, D.; Cardone, D.; Chiarelli, A. M.; Merla, A. | |
Facilitating the Child–Robot Interaction by Endowing the Robot with the Capability of Understanding the Child Engagement: The Case of Mio Amico Robot | 2020 | Filippini, C.; Spadolini, E.; Cardone, D.; Bianchi, D.; Preziuso, M.; Sciarretta, C.; del Cimmuto, V.; Lisciani, 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 | |
Working memory decline in Alzheimer’s disease is detected by complexity analysis of multimodal EEG-fnirs | 2020 | Perpetuini, D.; Chiarelli, A. M.; Filippini, C.; Cardone, D.; Croce, P.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A. | |
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. | |
Evidence of neurovascular un-coupling in mild alzheimer’s disease through multimodal eeg-fnirs and multivariate analysis of resting-state data | 2021 | Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Filippini, C.; Cardone, D.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; 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. | |
Prediction of state anxiety by machine learning applied to photoplethysmography data | 2021 | Perpetuini, D.; Chiarelli, A. M.; Cardone, D.; Filippini, C.; Rinella, S.; Massimino, S.; Bianco, F.; Bucciarelli, V.; Vinciguerra, V.; Fallica, P.; Perciavalle, V.; Gallina, S.; Conoci, S.; 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. | |
An overview of thermal infrared imaging-based screenings during pandemic emergencies | 2021 | Perpetuini, D.; Filippini, C.; Cardone, D.; 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. | |
Is It Possible to Estimate Average Heart Rate from Facial Thermal Imaging? | 2021 | Perpetuini, David; Di Credico, Andrea; Filippini, Chiara; Izzicupo, Pascal; Cardone, Daniela; Chiacchiaretta, Piero; Ghinassi, Barbara; Di Baldassarre, Angela; Merla, Arcangelo | |
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. | |
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. | |
The Prediction of Running Velocity during the 30–15 Intermittent Fitness Test Using Accelerometry-Derived Metrics and Physiological Parameters: A Machine Learning Approach | 2021 | Di Credico, Andrea; Perpetuini, David; Chiacchiaretta, Piero; Cardone, Daniela; Filippini, Chiara; Gaggi, Giulia; Merla, Arcangelo; Ghinassi, Barbara; Di Baldassarre, Angela; Izzicupo, Pascal |
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