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Fiberless, Multi-Channel fNIRS-EEG System Based on Silicon Photomultipliers: Towards Sensitive and Ecological Mapping of Brain Activity and Neurovascular Coupling.

A. Chiarelli, D. Perpetuini, P. Croce, G. Greco, L. Mistretta, R. Rizzo, V. Vinciguerra, M. Romeo, F. Zappasodi, A. Merla, P. Fallica, G. Edlinger, R. Ortner, and G. Giaconia. Sensors, 20 (10): 2831 (2020)

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Other publications of authors with the same name

Thermal Infrared Imaging and Artificial Intelligence Techniques Can Support Mild Alzheimer Disease Diagnosis (short paper).C. Filippini, D. Perpetuini, D. Cardone, A. Chiarelli, and A. Merla. AIxAS@AI*IA, volume 2804 of CEUR Workshop Proceedings, page 31-39. CEUR-WS.org, (2020)Fiberless, Multi-Channel fNIRS-EEG System Based on Silicon Photomultipliers: Towards Sensitive and Ecological Mapping of Brain Activity and Neurovascular Coupling.A. Chiarelli, D. Perpetuini, P. Croce, G. Greco, L. Mistretta, R. Rizzo, V. Vinciguerra, M. Romeo, F. Zappasodi, A. Merla and 4 other author(s). Sensors, 20 (10): 2831 (2020)Working Memory Decline in Alzheimer's Disease Is Detected by Complexity Analysis of Multimodal EEG-fNIRS.D. Perpetuini, A. Chiarelli, C. Filippini, D. Cardone, P. Croce, L. Rotunno, N. Anzoletti, M. Zito, F. Zappasodi, and A. Merla. Entropy, 22 (12): 1380 (2020)Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach.C. Filippini, A. Crosta, R. Palumbo, D. Perpetuini, D. Cardone, I. Ceccato, A. Domenico, and A. Merla. Sensors, 22 (5): 1789 (2022)Complexity of Frontal Cortex fNIRS Can Support Alzheimer Disease Diagnosis in Memory and Visuo-Spatial Tests.D. Perpetuini, A. Chiarelli, D. Cardone, C. Filippini, R. Bucco, M. Zito, and A. Merla. Entropy, 21 (1): 26 (2019)Can Data-Driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?D. Perpetuini, D. Formenti, D. Cardone, A. Trecroci, A. Rossi, A. Credico, G. Merati, G. Alberti, A. Baldassarre, and A. Merla. Sensors, 23 (2): 832 (January 2023)Classification of Drivers' Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals.D. Cardone, D. Perpetuini, C. Filippini, L. Mancini, S. Nocco, M. Tritto, S. Rinella, A. Giacobbe, G. Fallica, F. Ricci and 2 other author(s). Sensors, 22 (19): 7300 (2022)Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status Assessment.D. Perpetuini, A. Chiarelli, L. Maddiona, S. Rinella, F. Bianco, V. Bucciarelli, S. Gallina, V. Perciavalle, V. Vinciguerra, A. Merla and 1 other author(s). Sensors, 19 (24): 5570 (2019)Wearable, Fiber-less, Multi-Channel System for Continuous Wave Functional Near Infrared Spectroscopy Based on Silicon Photomultipliers Detectors and Lock-In Amplification.A. Chiarelli, D. Perpetuini, G. Greco, L. Mistretta, R. Rizzo, V. Vinciguerra, M. Romeo, A. Merla, P. Fallica, and G. Giaconia. EMBC, page 60-66. IEEE, (2019)Modelling Impulse Response Function of Functional Infrared Imaging for General Linear Model Analysis of Autonomic Activity.D. Perpetuini, D. Cardone, C. Filippini, A. Chiarelli, and A. Merla. Sensors, 19 (4): 849 (2019)

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Disambiguation of "Perpetuini, David"