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Arcangelo Merla

Showing results (71-80 of 115) with videos related to

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Psychosomatic Medicine|October 15, 2021
Interpersonal Emotion Dynamics in Couples With Somatic Symptom Disorder: Dyadic Coherence in Facial Temperature During Emotional InteractionsZeynep Emine Okur Güney, Daniela Cardone, Heribert Sattel, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning ApproachChiara Filippini, Adolfo Di Crosta, Rocco Palumbo, et al.
Frontiers in Rehabilitation Sciences|April 27, 2026
Case Report: Improving gait and fatigue in multiple sclerosis through wearable electrical stimulation: a single-patient studySerena Filoni, Francesco Romano, Daniela Cardone, et al.
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society|March 5, 2003
Infrared functional imaging applied to Raynaud's phenomenonArcangelo Merla, Luigi Di Donato, Silvano Di Luzio, et al.
Medical Engineering & Physics|July 31, 2019
Data-driven assessment of cardiovascular ageing through multisite photoplethysmography and electrocardiographyAntonio M Chiarelli, Francesco Bianco, David Perpetuini, et al.
International Journal of Neural Systems|November 25, 2020
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning ApproachesAntonio Maria Chiarelli, Pierpaolo Croce, Giovanni Assenza, et al.
Giornale Italiano Di Nefrologia : Organo Ufficiale Della Societa Italiana Di Nefrologia|September 7, 2024
[Clinical Thermography for the Management of Hemodialysis Vascular Access]Giuseppe Gatta, Antonio Scarlatella, Francesco Aucella, et al.
Frontiers in Cardiovascular Medicine|June 3, 2022
Estimation of Heart Rate Variability Parameters by Machine Learning Approaches Applied to Facial Infrared Thermal ImagingAndrea Di Credico, David Perpetuini, Pascal Izzicupo, et al.
Journal of Visualized Experiments : Jove|December 10, 2015
Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive TasksPaola Pinti, Clarisse Aichelburg, Frida Lind, et al.
Frontiers in Molecular Biosciences|June 27, 2025
Blood metabolome shows signatures of metabolic dysregulation in obese and overweight subjects that can be predicted by machine learning applied to heart rate variabilityAndrea Di Credico, David Perpetuini, Pascal Izzicupo, et al.
Pageof 12

Showing results (71-80 of 115) with videos related to

Sort By:
Pageof 12
Psychosomatic Medicine|October 15, 2021
Interpersonal Emotion Dynamics in Couples With Somatic Symptom Disorder: Dyadic Coherence in Facial Temperature During Emotional InteractionsZeynep Emine Okur Güney, Daniela Cardone, Heribert Sattel, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning ApproachChiara Filippini, Adolfo Di Crosta, Rocco Palumbo, et al.
Frontiers in Rehabilitation Sciences|April 27, 2026
Case Report: Improving gait and fatigue in multiple sclerosis through wearable electrical stimulation: a single-patient studySerena Filoni, Francesco Romano, Daniela Cardone, et al.
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society|March 5, 2003
Infrared functional imaging applied to Raynaud's phenomenonArcangelo Merla, Luigi Di Donato, Silvano Di Luzio, et al.
Medical Engineering & Physics|July 31, 2019
Data-driven assessment of cardiovascular ageing through multisite photoplethysmography and electrocardiographyAntonio M Chiarelli, Francesco Bianco, David Perpetuini, et al.
International Journal of Neural Systems|November 25, 2020
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning ApproachesAntonio Maria Chiarelli, Pierpaolo Croce, Giovanni Assenza, et al.
Giornale Italiano Di Nefrologia : Organo Ufficiale Della Societa Italiana Di Nefrologia|September 7, 2024
[Clinical Thermography for the Management of Hemodialysis Vascular Access]Giuseppe Gatta, Antonio Scarlatella, Francesco Aucella, et al.
Frontiers in Cardiovascular Medicine|June 3, 2022
Estimation of Heart Rate Variability Parameters by Machine Learning Approaches Applied to Facial Infrared Thermal ImagingAndrea Di Credico, David Perpetuini, Pascal Izzicupo, et al.
Journal of Visualized Experiments : Jove|December 10, 2015
Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive TasksPaola Pinti, Clarisse Aichelburg, Frida Lind, et al.
Frontiers in Molecular Biosciences|June 27, 2025
Blood metabolome shows signatures of metabolic dysregulation in obese and overweight subjects that can be predicted by machine learning applied to heart rate variabilityAndrea Di Credico, David Perpetuini, Pascal Izzicupo, et al.
Pageof 12