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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.
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.
The American Journal of Emergency Medicine|August 27, 2014
Urban overdose hotspots: a 12-month prospective study in Dublin ambulance servicesJan Klimas, Martin O'Reilly, Mairead Egan, 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.
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|January 18, 2020
Capturing concussion related changes in dynamic balance using the Quantified Y Balance Test - a case series of six elite rugby union playersWilliam Johnston, Martin O'Reilly, Mairead Liston, et al.
JMIR Mhealth and Uhealth|August 6, 2017
Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and EvaluationJose Juan Dominguez Veiga, Martin O'Reilly, Darragh Whelan, et al.
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