A Comprehensive Comparison of Commercial Wrist- Worn Trackers in a Young Cohort in a Lab- Environment. - Salvatore Tedesco; Marco Sica; Thomas Garbay; John Barton; Brendan O'Flynn (PerCom Workshops, 2018)

Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players. - Salvatore Tedesco; Colum Crowe; Andrew Ryan; Marco Sica; Sebastian Scheurer; Amanda M. Clifford; Kenneth N. Brown; Brendan O'Flynn (Sensors, 2020)

Cuff-Less Blood Pressure Monitoring in a Cohort of People with Parkinson's Disease. - Colum Crowe; Marco Sica; Lorna Kenny; Brendan O'Flynn; David Scott Mueller; Suzanne Timmons; John Barton; Salvatore Tedesco (SAS, 2023)

Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors. - Suraj Prasannan Nair; Marco Sica; Salvatore Tedesco; Andrea Visentin (AICS, 2024)

Design of a Multi-Sensors Wearable System for Continuous Home Monitoring of People With Parkinson's. - Marco Sica; Omid Varnosfaderani Talebi; Colum Crowe; Lorna Kenny; Andrea Bocchino; Brendan O'Flynn; David Scott Mueller; Salvatore Tedesco; Suzanne Timmons; John Barton (IEEE Access, 2024)

Estimating Perceived Fatigue Using Machine Learning and Biomechanical Features from Wearable Sensors. - Malik Muhammad Qirtas; Merve Nur Yasar; Marco Sica; Salvatore Tedesco; Andrea Visentin (SMARTCOMP, 2025)