Mattia Alessandro Ragolia

According to our database, Mattia Alessandro Ragolia authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

Performance comparison of machine learning algorithms for the estimation of blood pressure using photoplethysmography.

Attilio Di Nisio, Luisa De Palma, Mattia Alessandro Ragolia, Anna Maria Lucia Lanzolla, Filippo Attivissimo

Biomed. Signal Process. Control., 2025

2024

Development of a System for Monitoring Driver Comfort via Smartphones.

Luisa De Palma, Attilio Di Nisio, Anna Maria Lucia Lanzolla, Daniel Lotano, Alessandro Pignatelli, Mattia Alessandro Ragolia

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023

The SNOWED Dataset and Its Application to Po River Monitoring Through Satellite Images.

Marco Scarpetta, Mattia Alessandro Ragolia, Maurizio Spadavecchia, Paolo Affuso, Nicola Giaquinto

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022

Development of a web-based system for interfacing a portable Bluetooth vital sign monitor.

Luisa De Palma, Filippo Attivissimo, Attilio Di Nisio, Anna Maria Lucia Lanzolla, Mattia Alessandro Ragolia, Maurizio Spadavecchia

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

2021

Detection and Characterization of Multiple Discontinuities in Cables with Time-Domain Reflectometry and Convolutional Neural Networks.

Marco Scarpetta, Maurizio Spadavecchia, Francesco Adamo, Mattia Alessandro Ragolia, Nicola Giaquinto

Sensors, 2021

Thermal Characterization of New 3D-Printed Bendable, Coplanar Capacitive Sensors.

Mattia Alessandro Ragolia, Anna Maria Lucia Lanzolla, Gianluca Percoco, Gianni Stano, Attilio Di Nisio

Sensors, 2021

Simultaneous Measurement of Heartbeat Intervals and Respiratory Signal using a Smartphone.

Marco Scarpetta, Maurizio Spadavecchia, Gregorio Andria, Mattia Alessandro Ragolia, Nicola Giaquinto

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

Reducing effect of magnetic field noise on sensor position estimation in surgical EM tracking.

Mattia Alessandro Ragolia, Filippo Attivissimo, Attilio Di Nisio, Anna Maria Lucia Lanzolla, Marco Scarpetta

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

Analysis of TDR Signals with Convolutional Neural Networks.

Marco Scarpetta, Maurizio Spadavecchia, Gregorio Andria, Mattia Alessandro Ragolia, Nicola Giaquinto

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Thermal Characterization of Electrical Resistance of 3D printed sensors.

Mattia Alessandro Ragolia, Attilio Di Nisio, Anna Maria Lucia Lanzolla, Gianluca Percoco, Marco Scarpetta, Gianni Stano

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

A New Processing Method to Segment Olive Trees and Detect Xylella Fastidiosa in UAVs Multispectral Images.

Francesco Adamo, Filippo Attivissimo, Attilio Di Nisio, Mattia Alessandro Ragolia, Marco Scarpetta

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2020

Assessment of Position Repeatability Error in an Electromagnetic Tracking System for Surgical Navigation.

Gregorio Andria, Filippo Attivissimo, Attilio Di Nisio, Anna Maria Lucia Lanzolla, Mattia Alessandro Ragolia

Sensors, 2020

Assessment of position repeatability of surgical EM tracking systems employing magnetic field model.

Mattia Alessandro Ragolia, Filippo Attivissimo, Attilio Di Nisio, Anna Maria Lucia Lanzolla

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Real-time drip infusion monitoring through a computer vision system.

Nicola Giaquinto, Marco Scarpetta, Mattia Alessandro Ragolia, Pietro Pappalardi

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Evaluation of Position RMS Error from Magnetic Field Gradient for Surgical EM Tracking Systems.

Mattia Alessandro Ragolia, Filippo Attivissimo, Attilio Di Nisio, Anna Maria Lucia Lanzolla

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019

Performance analysis of an electromagnetic tracking system for surgical navigation.

Mattia Alessandro Ragolia, Gregorio Andria, Filippo Attivissimo, Attilio Di Nisio, Anna Maria Lucia Lanzolla, Maurizio Spadavecchia, Pietro Larizza, Gioacchino Brunetti

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019