Optimality principles for model-based prediction of human gait.
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A Muscle Synergy-Inspired Adaptive Control Scheme for a Hybrid Walking NeuroprosthesisRobotic lower limb prosthesis design through simultaneous computer optimizations of human and prosthesis costsPredictive simulation generates human adaptations during loaded and inclined walkingWalking on a moving surface: energy-optimal walking motions on a shaky bridge and a shaking treadmill can reduce energy costs below normalA neural circuitry that emphasizes spinal feedback generates diverse behaviours of human locomotionPredictive simulation of gait at low gravity reveals skipping as the preferred locomotion strategy.Optimizing Locomotion Controllers Using Biologically-Based Actuators and ObjectivesMuscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions.Sensitivity of a juvenile subject-specific musculoskeletal model of the ankle joint to the variability of operator-dependent input.Concurrent musculoskeletal dynamics and finite element analysis predicts altered gait patterns to reduce foot tissue loading.Optimization of muscle activity for task-level goals predicts complex changes in limb forces across biomechanical contexts.The cost of moving optimally: kinematic path selectionIs my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.The cost of leg forces in bipedal locomotion: a simple optimization study.Implicit methods for efficient musculoskeletal simulation and optimal control.Stretching Your Energetic Budget: How Tendon Compliance Affects the Metabolic Cost of RunningInstantaneous Metabolic Cost of Walking: Joint-Space Dynamic Model with Subject-Specific Heat RateForces and moments generated by the human arm: variability and controlControl of position and movement is simplified by combined muscle spindle and Golgi tendon organ feedback.Flexing computational muscle: modeling and simulation of musculotendon dynamics.The effectiveness of FES-evoked EMG potentials to assess muscle force and fatigue in individuals with spinal cord injuryEvaluation of Direct Collocation Optimal Control Problem Formulations for Solving the Muscle Redundancy Problem.EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model.Predictive Simulation of Reaching Moving Targets Using Nonlinear Model Predictive ControlGenerating optimal control simulations of musculoskeletal movement using OpenSim and MATLAB.An experimental comparison of the relative benefits of work and torque assistance in ankle exoskeletons.Simulated impacts of ankle foot orthoses on muscle demand and recruitment in typically-developing children and children with cerebral palsy and crouch gait.A joint-space numerical model of metabolic energy expenditure for human multibody dynamic system.Feasible muscle activation ranges based on inverse dynamics analyses of human walking.A novel computational framework for deducing muscle synergies from experimental joint moments.Optimal Control Based Stiffness Identification of an Ankle-Foot Orthosis Using a Predictive Walking Model.Adjusting kinematics and kinetics in a feedback-controlled toe walking model.Association between Muscle Synergy and Stability during Prolonged Walking.Predicting sagittal plane biomechanics that minimize the axial knee joint contact force during walking.Workflow assessing the effect of gait alterations on stresses in the medial tibial cartilage - combined musculoskeletal modelling and finite element analysis.Modeling and optimal control of an energy-storing prosthetic knee.EMG-driven Forward Dynamics Simulation to Estimate in Vivo Joint Contact Forces During Normal, Smooth, and Bouncy Gait.Validation of plantar pressure simulations using finite and discrete element modelling in healthy and diabetic subjects.Predictive neuromechanical simulations indicate why walking performance declines with aging.Direct Methods for Predicting Movement Biomechanics Based Upon Optimal Control Theory with Implementation in OpenSim.
P2860
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P2860
Optimality principles for model-based prediction of human gait.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh
2010年學術文章
@zh-hant
name
Optimality principles for model-based prediction of human gait.
@en
Optimality principles for model-based prediction of human gait.
@nl
type
label
Optimality principles for model-based prediction of human gait.
@en
Optimality principles for model-based prediction of human gait.
@nl
prefLabel
Optimality principles for model-based prediction of human gait.
@en
Optimality principles for model-based prediction of human gait.
@nl
P2860
P1476
Optimality principles for model-based prediction of human gait.
@en
P2093
Marko Ackermann
P2860
P304
P356
10.1016/J.JBIOMECH.2009.12.012
P577
2010-01-13T00:00:00Z