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Journal ArticleDOI

Prediction of the hip joint centre in adults, children, and patients with cerebral palsy based on magnetic resonance imaging.

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TLDR
Results from regression analysis and leave-one-out cross-validation techniques on the MRI data suggested that the best predictors of HJC location were: pelvic depth for the antero-posterior direction; pelvic width and leg length for the supero-inferiordirection; and pelvic depth and pelvic width for the medio-lateral direction.
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This article is published in Journal of Biomechanics.The article was published on 2007-01-01. It has received 287 citations till now. The article focuses on the topics: Cerebral palsy.

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Journal ArticleDOI

Effect of Running Speed on Lower Limb Joint Kinetics

TL;DR: Of all the major lower limb muscle groups, the hip extensor and knee flexor muscles during terminal swing demonstrated the most dramatic increase in biomechanical load when running speed progressed toward maximal sprinting.
Journal ArticleDOI

Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis

TL;DR: IMUs accuracy was affected by the complexity and duration of the tasks, Nevertheless, technological error remained under 5° RMSE during handling tasks, which shows potential to track workers during their daily labour.
Journal ArticleDOI

CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks.

TL;DR: The Calibrated EMG-Informed NMS Modelling Toolbox (CEINMS), an OpenSim plug-in that enables investigators to predict different neural control solutions for the same musculoskeletal geometry and measured movements, is created and made freely available for the research community.
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Biomechanical response to hamstring muscle strain injury

TL;DR: It is concluded that hamstring strains during sprinting most likely occur during terminal swing as a consequence of an eccentric contraction.
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Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras

TL;DR: It is demonstrated that, if an algorithm that corrects all apparently wrong tracking can be incorporated into the system, OpenPose-based markerless motion capture can be used for human movement science with an accuracy of 30 mm or less.
References
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Biometery: The principles and practice of statistics in biological research

TL;DR: In this paper, the authors present a model for the analysis of variance in a single-classification and two-way and multiway analysis of Variance with the assumption of correlation.
Book

Biometry: The Principles and Practice of Statistics in Biological Research

TL;DR: In this paper, the authors present a model for the analysis of variance in a single-classification and two-way and multiway analysis of Variance with the assumption of correlation.
Book

Pattern recognition and neural networks

TL;DR: Professor Ripley brings together two crucial ideas in pattern recognition; statistical methods and machine learning via neural networks in this self-contained account.

Pattern Recognition and Neural Networks

TL;DR: Title Type pattern recognition with neural networks in c++ PDF pattern recognition and neural networks PDF Neural networks for pattern recognition advanced texts in econometrics PDF neural networks for applied sciences and engineering from fundamentals to complex pattern recognition PDF
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