Showing results (1-10 of 249) with videos related to

Sort By:
Pageof 25
JMIR Mhealth and Uhealth|March 3, 2018
Patient Involvement With Home-Based Exercise Programs: Can Connected Health Interventions Influence Adherence?Rob Argent, Ailish Daly, Brian Caulfield
Sensors (Basel, Switzerland)|April 3, 2021
The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case StudyRob Argent, Antonio Bevilacqua, Alison Keogh, et al.
Sensors (Basel, Switzerland)|January 24, 2019
Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype SystemRob Argent, Patrick Slevin, Antonio Bevilacqua, et al.
Journal of Rehabilitation and Assistive Technologies Engineering|August 28, 2019
Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensorRob Argent, Sean Drummond, Alexandria Remus, et al.
Journal of Neuroengineering and Rehabilitation|September 16, 2021
Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic reviewAlison Keogh, Rob Argent, Amy Anderson, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSMAntonio Bevilacqua, Louise Brennan, Rob Argent, et al.
JMIR Rehabilitation and Assistive Technologies|August 2, 2022
mHealth Apps for Musculoskeletal Rehabilitation: Systematic Search in App Stores and Content AnalysisShíofra Ryan, Noirín Ní Chasaide, Shane O' Hanrahan, et al.
Pageof 25