SPONGANO, LORENZO
SPONGANO, LORENZO
DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE
A Fully Programmable DAQ Board of Vibrational Signals from IEPE Sensors: Hardware and Software Design, Performance Analysis
2024-01-01 De Fazio, R.; Spongano, L.; Messina, A.; Visconti, P.
A New Technique for Connecting a Dual Excitation Synchronous Generator to the Power Grid
2023-01-01 De Fazio, R.; Alerksousi, A.; Spongano, L.; Al-Naami, B.; Al-Odienat, A.; Visconti, P.
A sensorized face mask to monitor sleep and health of the astronauts: architecture definition, sensing section design and biosignals’ acquisition
2024-01-01 De Fazio, R.; Spongano, L.; Mastronardi, V. M.; Rizzi, F.; Fachechi, L.; De Vittorio, M.; Visconti, P.
Acquisition and processing of ECG and PPG signals using face-worn devices for extracting the cardio-respiratory and sleep-related parameters
2024-01-01 De Fazio, R.; Spongano, L.; Al-Naami, B.; De Vittorio, M.; Visconti, P.
Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: an Efficient Edge Computing Solution Suitable for Wearable Devices
2024-01-01 De Fazio, R.; Spongano, L.; De Vittorio, M.; Patrono, L.; Visconti, P.
Neural Network-based Wearable Devices for Limb Rehabilitation by Inertial Signal Classification
2024-01-01 De Fazio, R.; Spongano, L.; Del Valle Soto, C.; Velazquez, R.; Visconti, P.
PCG Signal Acquisition and Classification for Heart Failure Detection: Recent Advances and Implementation of Memory-Efficient Classifiers for Edge Computing-Based Wearable Devices
2024-01-01 Spongano, L.; De Fazio, R.; De Vittorio, M.; Patrono, L.; Visconti, P.