A one-parameter neural activation to muscle activation model: estimating isometric joint moments from electromyograms.
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Subject-specific tendon-aponeurosis definition in Hill-type model predicts higher muscle forces in dynamic tasks.Muscle-driven forward dynamic simulations for the study of normal and pathological gait.Comparison of regression models for estimation of isometric wrist joint torques using surface electromyographyComparison of sEMG-Based Feature Extraction and Motion Classification Methods for Upper-Limb Movement.Gait and neuromuscular asymmetries after acute anterior cruciate ligament ruptureCEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks.Knee muscle forces during walking and running in patellofemoral pain patients and pain-free controls.Minimum detectable change for knee joint contact force estimates using an EMG-driven modelVoluntary EMG-to-force estimation with a multi-scale physiological muscle model.Muscle synergies may improve optimization prediction of knee contact forces during walking.Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forcesLower extremity EMG-driven modeling of walking with automated adjustment of musculoskeletal geometry.EMGD-FE: an open source graphical user interface for estimating isometric muscle forces in the lower limb using an EMG-driven model.Estimation of ligament loading and anterior tibial translation in healthy and ACL-deficient knees during gait and the influence of increasing tibial slope using EMG-driven approach.A Real-time EMG-driven Musculoskeletal Model of the Ankle.An EMG-driven model to estimate muscle forces and joint moments in stroke patients.Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command.Hybrid models of the neuromusculoskeletal system improve subject-specificity.A two-muscle, continuum-mechanical forward simulation of the upper limb.Predicting isometric force from muscular activation using a physiologically inspired model.Adaptive Admittance Control for an Ankle Exoskeleton Using an EMG-Driven Musculoskeletal Model.Evaluating Muscle Activation Models for Elbow Motion Estimation.
P2860
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P2860
A one-parameter neural activation to muscle activation model: estimating isometric joint moments from electromyograms.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh
2003年學術文章
@zh-hant
name
A one-parameter neural activat ...... moments from electromyograms.
@en
A one-parameter neural activat ...... moments from electromyograms.
@nl
type
label
A one-parameter neural activat ...... moments from electromyograms.
@en
A one-parameter neural activat ...... moments from electromyograms.
@nl
prefLabel
A one-parameter neural activat ...... moments from electromyograms.
@en
A one-parameter neural activat ...... moments from electromyograms.
@nl
P1476
A one-parameter neural activat ...... moments from electromyograms.
@en
P2093
Kurt Manal
P304
P356
10.1016/S0021-9290(03)00152-0
P577
2003-08-01T00:00:00Z