David Perpetuini

According to our database, David Perpetuini authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Data-Driven Identification of Stroke through Machine Learning Applied to Complexity Metrics in Multimodal Electromyography and Kinematics.

Francesco Romano, Damiano Formenti, Daniela Cardone, Emanuele Francesco Russo, Paolo Castiglioni, Giampiero Merati, Arcangelo Merla, David Perpetuini

Entropy, July, 2024

Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson's Disease: A Study on Speaker Diarization and Classification Techniques.

Michele Giuseppe Di Cesare, David Perpetuini, Daniela Cardone, Arcangelo Merla

Sensors, March, 2024

2023

Can Data-Driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?

David Perpetuini, Damiano Formenti, Daniela Cardone, Athos Trecroci, Alessio Rossi, Andrea Di Credico, Giampiero Merati, Giampietro Alberti, Angela Di Baldassarre, Arcangelo Merla

Sensors, January, 2023

2022

Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach.

Chiara Filippini, Adolfo Di Crosta, Rocco Palumbo, David Perpetuini, Daniela Cardone, Irene Ceccato, Alberto Di Domenico, Arcangelo Merla

Sensors, 2022

Classification of Drivers' Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals.

Daniela Cardone, David Perpetuini, Chiara Filippini, Lorenza Mancini, Sergio Nocco, Michele Tritto, Sergio Rinella, Alberto Giacobbe, Giorgio Fallica, Fabrizio Ricci, Sabina Gallina, Arcangelo Merla

Sensors, 2022

2021

A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking.

David Perpetuini, Daniela Cardone, Chiara Filippini, Antonio Maria Chiarelli, Arcangelo Merla

Sensors, 2021

Improving Human-Robot Interaction by Enhancing NAO Robot Awareness of Human Facial Expression.

Chiara Filippini, David Perpetuini, Daniela Cardone, Arcangelo Merla

Sensors, 2021

2020

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

Antonio Maria Chiarelli, David Perpetuini, Pierpaolo Croce, Giuseppe Greco, Leonardo Mistretta, Raimondo Rizzo, Vincenzo Vinciguerra, Mario Francesco Romeo, Filippo Zappasodi, Arcangelo Merla, Pier Giorgio Fallica, Günter Edlinger, Rupert Ortner, Giuseppe Costantino Giaconia

Sensors, 2020

Working Memory Decline in Alzheimer's Disease Is Detected by Complexity Analysis of Multimodal EEG-fNIRS.

David Perpetuini, Antonio Maria Chiarelli, Chiara Filippini, Daniela Cardone, Pierpaolo Croce, Ludovica Rotunno, Nelson Anzoletti, Michele Zito, Filippo Zappasodi, Arcangelo Merla

Entropy, 2020

Thermal Infrared Imaging and Artificial Intelligence Techniques Can Support Mild Alzheimer Disease Diagnosis (short paper).

Chiara Filippini, David Perpetuini, Daniela Cardone, Antonio Maria Chiarelli, Arcangelo Merla

Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2020 co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020), 2020

2019

Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status Assessment.

David Perpetuini, Antonio Maria Chiarelli, Lidia Maddiona, Sergio Rinella, Francesco Bianco, Valentina Bucciarelli, Sabina Gallina, Vincenzo Perciavalle, Vincenzo Vinciguerra, Arcangelo Merla, Giorgio Fallica

Sensors, 2019

Modelling Impulse Response Function of Functional Infrared Imaging for General Linear Model Analysis of Autonomic Activity.

David Perpetuini, Daniela Cardone, Chiara Filippini, Antonio Maria Chiarelli, Arcangelo Merla

Sensors, 2019

Complexity of Frontal Cortex fNIRS Can Support Alzheimer Disease Diagnosis in Memory and Visuo-Spatial Tests.

David Perpetuini, Antonio Maria Chiarelli, Daniela Cardone, Chiara Filippini, Roberta Bucco, Michele Zito, Arcangelo Merla

Entropy, 2019

Wearable, Fiber-less, Multi-Channel System for Continuous Wave Functional Near Infrared Spectroscopy Based on Silicon Photomultipliers Detectors and Lock-In Amplification.

Antonio Maria Chiarelli, David Perpetuini, Giuseppe Greco, Leonardo Mistretta, Raimondo Rizzo, Vincenzo Vinciguerra, Mario Francesco Romeo, Arcangelo Merla, Pier Giorgio Fallica, G. Costantino Giaconia

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019