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Moataz Eltoukhy

Showing results (11-20 of 35) with videos related to

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Journal of Strength and Conditioning Research|July 24, 2018
A Novel Method to Determine Optimal Load in Elastic-Based Power TrainingAndrew N Buskard, Jeonghoon Oh, Moataz Eltoukhy, et al.
Gait & Posture|December 22, 2019
Comparison of predicted kinetic variables between Parkinson's disease patients and healthy age-matched control using a depth sensor-driven full-body musculoskeletal modelJeonghoon Oh, Moataz Eltoukhy, Christopher Kuenze, et al.
Medical Engineering & Physics|April 15, 2017
Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's diseaseMoataz Eltoukhy, Christopher Kuenze, Jeonghoon Oh, et al.
Journal of Applied Biomechanics|July 11, 2018
Concurrent Validity of Depth-Sensing Cameras for Noncontact ACL Injury Screening During Side-Cut Maneuvers in Adolescent Athletes: A Preliminary StudyMoataz Eltoukhy, Christopher Kuenze, Jeonghoon Oh, et al.
Gait & Posture|April 15, 2022
Ground reaction force and joint moment estimation during gait using an Azure Kinect-driven musculoskeletal modeling approachZachary Ripic, Christopher Kuenze, Michael Skipper Andersen, et al.
Journal of Orthopaedics|July 14, 2016
Examination of a lumbar spine biomechanical model for assessing axial compression, shear, and bending moment using selected Olympic liftsMoataz Eltoukhy, Francesco Travascio, Shihab Asfour, et al.
Sensors (Basel, Switzerland)|September 13, 2025
Validity of AI-Driven Markerless Motion Capture for Spatiotemporal Gait Analysis in Stroke SurvivorsBalsam J Alammari, Brandon Schoenwether, Zachary Ripic, et al.
Journal of Biomechanics|February 7, 2026
Evaluation of automatic identification of events during the lunge exercise using kinematic dataMitchell Nienhuis, Joseph Signorile, Zachary Ripic, et al.
Sports Biomechanics|February 3, 2016
Validation of the Microsoft Kinect® camera system for measurement of lower extremity jump landing and squatting kinematicsMoataz Eltoukhy, Adam Kelly, Chang-Young Kim, et al.
Plos One|January 22, 2025
Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adultsBrandon Schoenwether, Zachary Ripic, Mitchell Nienhuis, et al.
Pageof 4

Showing results (11-20 of 35) with videos related to

Sort By:
Pageof 4
Journal of Strength and Conditioning Research|July 24, 2018
A Novel Method to Determine Optimal Load in Elastic-Based Power TrainingAndrew N Buskard, Jeonghoon Oh, Moataz Eltoukhy, et al.
Gait & Posture|December 22, 2019
Comparison of predicted kinetic variables between Parkinson's disease patients and healthy age-matched control using a depth sensor-driven full-body musculoskeletal modelJeonghoon Oh, Moataz Eltoukhy, Christopher Kuenze, et al.
Medical Engineering & Physics|April 15, 2017
Microsoft Kinect can distinguish differences in over-ground gait between older persons with and without Parkinson's diseaseMoataz Eltoukhy, Christopher Kuenze, Jeonghoon Oh, et al.
Journal of Applied Biomechanics|July 11, 2018
Concurrent Validity of Depth-Sensing Cameras for Noncontact ACL Injury Screening During Side-Cut Maneuvers in Adolescent Athletes: A Preliminary StudyMoataz Eltoukhy, Christopher Kuenze, Jeonghoon Oh, et al.
Gait & Posture|April 15, 2022
Ground reaction force and joint moment estimation during gait using an Azure Kinect-driven musculoskeletal modeling approachZachary Ripic, Christopher Kuenze, Michael Skipper Andersen, et al.
Journal of Orthopaedics|July 14, 2016
Examination of a lumbar spine biomechanical model for assessing axial compression, shear, and bending moment using selected Olympic liftsMoataz Eltoukhy, Francesco Travascio, Shihab Asfour, et al.
Sensors (Basel, Switzerland)|September 13, 2025
Validity of AI-Driven Markerless Motion Capture for Spatiotemporal Gait Analysis in Stroke SurvivorsBalsam J Alammari, Brandon Schoenwether, Zachary Ripic, et al.
Journal of Biomechanics|February 7, 2026
Evaluation of automatic identification of events during the lunge exercise using kinematic dataMitchell Nienhuis, Joseph Signorile, Zachary Ripic, et al.
Sports Biomechanics|February 3, 2016
Validation of the Microsoft Kinect® camera system for measurement of lower extremity jump landing and squatting kinematicsMoataz Eltoukhy, Adam Kelly, Chang-Young Kim, et al.
Plos One|January 22, 2025
Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adultsBrandon Schoenwether, Zachary Ripic, Mitchell Nienhuis, et al.
Pageof 4