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JMIR Rehabilitation and Assistive Technologies|August 23, 2017
Mobile App to Streamline the Development of Wearable Sensor-Based Exercise Biofeedback Systems: System Development and EvaluationMartin O'Reilly, Joe Duffin, Tomas Ward, et al.
Sports Medicine (Auckland, N.Z.)|February 25, 2018
Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic ReviewMartin O'Reilly, Brian Caulfield, Tomas Ward, et al.
JMIR Mhealth and Uhealth|February 2, 2018
A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of FormuliftMartin Aidan O'Reilly, Patrick Slevin, Tomas Ward, et al.
Digital Biomarkers|February 26, 2020
Inertial Sensor Technology Can Capture Changes in Dynamic Balance Control during the Y Balance TestWilliam Johnston, Martin O'Reilly, Garrett F Coughlan, 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.
British Journal of Sports Medicine|February 9, 2023
Comprehensive assessment and classification of upper and lower limb pain in athletes: a scoping reviewCiarán Purcell, Ciara Duignan, Brona M Fullen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Leveraging IMU data for accurate exercise performance classification and musculoskeletal injury risk screeningDarragh Whelan, Martin O'Reilly, Bingquan Huang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Development of a wearable motion capture suit and virtual reality biofeedback system for the instruction and analysis of sports rehabilitation exercisesDiarmaid Fitzgerald, John Foody, Dan Kelly, et al.
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