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Gait & Posture|July 22, 2022
Accuracy of a 3D temporal scanning system for gait analysis: Comparative with a marker-based photogrammetry systemAna V Ruescas Nicolau, Helios De Rosario, Fermín Basso Della-Vedova, et al.
JMIR Medical Informatics|September 6, 2023
Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping ReviewHelios De Rosario, Salvador Pitarch-Corresa, Ignacio Pedrosa, et al.
International Journal of Legal Medicine|March 28, 2021
A model to differentiate WAD patients and people with abnormal pain behaviour based on biomechanical and self-reported testsMerylin Monaro, Helios De Rosario, José María Baydal-Bertomeu, et al.
Sensors (Basel, Switzerland)|July 29, 2023
The Reliability and Accuracy of a Fall Risk Assessment Procedure Using Mobile Smartphone Sensors Compared with a Physiological Profile AssessmentJosé-Francisco Pedrero-Sánchez, Helios De-Rosario-Martínez, Enrique Medina-Ripoll, et al.
BMC Geriatrics|August 22, 2014
ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trialYves J Gschwind, Sabine Eichberg, Hannah R Marston, et al.
European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|February 12, 2016
The design of a purpose-built exergame for fall prediction and prevention for older peopleHannah R Marston, Ashley Woodbury, Yves J Gschwind, et al.
European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|February 12, 2016
ICT-based system to predict and prevent falls (iStoppFalls): results from an international multicenter randomized controlled trialYves J Gschwind, Sabine Eichberg, Andreas Ejupi, et al.
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