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contributor authorJackson, Jennifer N.
contributor authorHass, Chris J.
contributor authorFregly, Benjamin J.
date accessioned2017-05-09T01:15:27Z
date available2017-05-09T01:15:27Z
date issued2015
identifier issn0148-0731
identifier otherbio_137_11_111002.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157198
description abstractPatientspecific gait optimizations capable of predicting posttreatment changes in joint motions and loads could improve treatment design for gaitrelated disorders. To maximize potential clinical utility, such optimizations should utilize fullbody threedimensional patientspecific musculoskeletal models, generate dynamically consistent gait motions that reproduce pretreatment marker measurements closely, and achieve accurate foot motion tracking to permit deformable footground contact modeling. This study enhances an existing residual elimination algorithm (REA) Remy, C. D., and Thelen, D. G., 2009, “Optimal Estimation of Dynamically Consistent Kinematics and Kinetics for Forward Dynamic Simulation of Gait,â€‌ ASME J. Biomech. Eng., 131(3), p. 031005) to achieve all three requirements within a single gait optimization framework. We investigated four primary enhancements to the original REA: (1) manual modification of tracked marker weights, (2) automatic modification of tracked joint acceleration curves, (3) automatic modification of algorithm feedback gains, and (4) automatic calibration of model joint and inertial parameter values. We evaluated the enhanced REA using a fullbody threedimensional dynamic skeletal model and movement data collected from a subject who performed four distinct gait patterns: walking, marching, running, and bounding. When all four enhancements were implemented together, the enhanced REA achieved dynamic consistency with lower marker tracking errors for all segments, especially the feet (mean rootmeansquare (RMS) errors of 3.1 versus 18.4 mm), compared to the original REA. When the enhancements were implemented separately and in combinations, the most important one was automatic modification of tracked joint acceleration curves, while the least important enhancement was automatic modification of algorithm feedback gains. The enhanced REA provides a framework for future gait optimization studies that seek to predict subjectspecific posttreatment gait patterns involving large changes in footground contact patterns made possible through deformable footground contact models.
publisherThe American Society of Mechanical Engineers (ASME)
titleResidual Elimination Algorithm Enhancements to Improve Foot Motion Tracking During Forward Dynamic Simulations of Gait
typeJournal Paper
journal volume137
journal issue11
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4031418
journal fristpage111002
journal lastpage111002
identifier eissn1528-8951
treeJournal of Biomechanical Engineering:;2015:;volume( 137 ):;issue: 011
contenttypeFulltext


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