E-Learning for Nurse Continuous Education. - Maria Franchi; Ines Giorgi; Carla Rognoni; Edda Maria Capodaglio; Giacomo Bazzini; Christine Broughton; M. Cristina Mazzoleni (MIE, 2009)

Earnings in E-learning: Knowledge, CME credits or both? Hints from Analysis of Attendance Dynamics and Users' Behaviour. - M. Cristina Mazzoleni; Carla Rognoni; Enrico Finozzi; Mauro Landro; Edda Maria Capodaglio; Marcello Imbriani; Ines Giorgi (MedInfo, 2010)

Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment. - Federica Amitrano; Armando Coccia; Carlo Ricciardi; Leandro Donisi; Giuseppe Cesarelli; Edda Maria Capodaglio; Giovanni D'Addio (Sensors, 2020)

Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning. - Leandro Donisi; Giuseppe Cesarelli; Armando Coccia; Monica Panigazzi; Edda Maria Capodaglio; Giovanni D'Addio (Sensors, 2021)

Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH. - Leandro Donisi; Edda Maria Capodaglio; Gaetano Pagano; Federica Amitrano; Mario Cesarelli; Monica Panigazzi; Giovanni D'Addio (MeMeA, 2022)

Machine Learning and Biosignals are able to discriminate biomechanical risk classes according to the Revised NIOSH Lifting Equation. - Leandro Donisi; Giuseppe Cesarelli; Edda Maria Capodaglio; Monica Panigazzi; Mario Cesarelli; Giovanni D'Addio (MetroXRAINE, 2022)

Biomechanical Effects of Using a Passive Exoskeleton for the Upper Limb in Industrial Manufacturing Activities: A Pilot Study. - Armando Coccia; Edda Maria Capodaglio; Federica Amitrano; Vittorio Gabba; Monica Panigazzi; Gaetano Pagano; Giovanni D'Addio (Sensors, 2024)