Maximiliano Mollura

According to our database, Maximiliano Mollura authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

Brain-Heart Dynamics: Virtual Reality Explores Theta Band's Role in Emotion Processing.

Edoardo Maria Polo, Andrea Farabbi, Maximiliano Mollura, Luca T. Mainardi, Riccardo Barbieri

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Reinforcement Learning for Heart Failure Treatment Optimization in the Intensive Care Unit.

Cristian Drudi, Moritz Fechner, Maximiliano Mollura, Alizée Pace, Gunnar Rätsch, Riccardo Barbieri

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

A Word Recognition Paradigm Through EEG Analysis: Imagined Speech Classification.

Francesco Iacomi, Andrea Farabbi, Maximiliano Mollura, Edoardo Maria Polo, Riccardo Barbieri, Luca T. Mainardi

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Statistical modelling and statistical learning frameworks for advanced monitoring in the intensive care unit

Maximiliano Mollura

PhD thesis, 2023

Exploring Emotional Responses in Virtual Reality Through Skin Conductance Signal.

Edoardo Maria Polo, Alberto Valdes Rey, Maximiliano Mollura, Alessia Paglialonga, Riccardo Barbieri

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

Effects of Varying $k$ in $L_{k}$ Norm Similarity Measures on a Reinforcement Learning-Based Clinical Decision Support System.

Cristian Drudi, Maximiliano Mollura, Riccardo Barbieri

Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

Statistical shape modeling-based algorithm for replacing missing beats in blood pressure signals.

Margherita Garagnani, Maximiliano Mollura, Riccardo Barbieri

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A Screening Platform for Hearing Loss and Cognitive Decline: WHISPER (Widespread Hearing Impairment Screening and PrEvention of Risk).

Alessia Paglialonga, Edoardo Maria Polo, Marta Lenatti, Maximiliano Mollura, Riccardo Barbieri

Proceedings of the Telehealth Ecosystems in Practice, 2023

Analysis of Reward Formulation Based on Mean Arterial Pressure in Reinforcement Learning for Critically Ill Septic Patient.

Cristian Drudi, Maximiliano Mollura, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2023

2022

Multivariate Classification of Mild and Moderate Hearing Loss Using a Speech-in-Noise Test for Hearing Screening at a Distance.

Edoardo Maria Polo, Maximiliano Mollura, Riccardo Barbieri, Alessia Paglialonga

Proceedings of the IoT Technologies for HealthCare - 9th EAI International Conference, 2022

Analysis of the skin conductance and pupil signals for evaluation of emotional elicitation by images and sounds.

Edoardo Maria Polo, Andrea Farabbi, Maximiliano Mollura, Riccardo Barbieri, Alessia Paglialonga, Luca T. Mainardi

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Characterization of Physiologic Patients' Response to Fluid Interventions in the Intensive Care Unit.

Maximiliano Mollura, Claudia Salerni, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Reinforcement Learning Application for Optimal Fluid and Vasopressor Interventions in Septic ICU Patients.

Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Listening Effort: Cardiovascular Investigation Through the Point Process.

Edoardo Maria Polo, Maximiliano Mollura, Alessia Paglialonga, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2022

Physiologic Patients' Response to Fluid Administration in Intensive Care Unit.

Maximiliano Mollura, Claudia Salerni, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2022

Characterization of Heart Rate Variability Dynamics in Heart Failure Patients Admitted to Intensive Care Unit.

Maximiliano Mollura, Christian Niklas, Stefanie Messner, Markus A Weigand, Jan Larmann, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2022

Optimal Fluid And Vasopressor Interventions In Septic ICU Patients Through Reinforcement Learning Model.

Maximiliano Mollura, Cristian Drudi, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2022

Characterization of Autonomic Dysfunction in REM Sleep Behavior Disorder.

Nicla Mandas, Maximiliano Mollura, Giulia Baldazzi, Michela Figorilli, Monica Puligheddu, Danilo Pani, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2022

2021

Emotion recognition from multimodal physiological measurements based on an interpretable feature selection method.

Edoardo Maria Polo, Maximiliano Mollura, Marta Lenatti, Marco Zanet, Alessia Paglialonga, Riccardo Barbieri

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Assessment of Sepsis in the ICU by Linear and Complex Characterization of Cardiovascular Dynamics.

Maximiliano Mollura, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Analysis of the Effect of Emotion Elicitation on the Cardiovascular System.

Edoardo Maria Polo, Maximiliano Mollura, Marco Zanet, Marta Lenatti, Alessia Paglialonga, Riccardo Barbieri

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs^*.

Maximiliano Mollura, Stefano Romano, Giulio Mantoan, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Assessing an Automatic Procedure of Extraction of Physiological Parameters from Skin using Video Photoplethysmography.

Riccardo Barbieri, Riccardo Levi, Maximiliano Mollura, Irene Marsella, Luca Ficarelli, Matteo Negro, Luca Cerina, Luca T. Mainardi

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Assessment of Heart Rate Variability Derived From Blood Pressure Pulse Recordings in Intensive Care Unit Patients.

Maximiliano Mollura, Edoardo Maria Polo, Li-Wei H. Lehman, Riccardo Barbieri

Proceedings of the Computing in Cardiology, 2020

2018

Biomimetic adaptive impedance control in physical Human Robot Interaction.

Jacopo Buzzi, Andrea Passoni, Giulio Mantoan, Maximiliano Mollura, Elena De Momi

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018