The purpose of this study was to validate muscle activation of the lower extremities computed in AnyBodyMT with measured muscle activations (EMG) in highly dynamic movement tasks. Ten participants performed walking, jogging, sprinting and cutting tasks. Kinetic, kinematic and EMG data were captured for 8 muscles of the dominant leg. The average correlation coefficient (CC) was 0.51 (max.: 0.83, min.: -0.05) with 71% of all trials showing moderate to very good compliance. The average mean absolute error (MAE) was 1.32 (max.: 3.71, min.: 0.17). Co-contraction, precision of the muscle recruitment algorithm, electromechanical delay and anthropometrical measures may have affected the results. The estimation of computed muscle activation can be a...
Buchanan, Thomas S.Higginson, Jill S.Experimental gait analysis was developed to analyze and calcula...
Aim of the study was to identify the different modalities of activation of gastrocnemius lateralis (...
Computational methods to estimate muscle forces during walking are becoming more common in biomechan...
Background Muscle force estimation could improve clinical gait analysis by enhancing insight into ca...
This study focused on validating muscle activities predicted by the a Lower Limb musculoskeletal mod...
An EMG-driven muscle model is described and applied to the analysis of a loaded squat movement, vert...
Introduction: Muscle activation under different contraction paradigms and rate of force or torque de...
Objective: Musculoskeletal modeling has been used to predict the effect of functional electrical sti...
Introduction: The validation of the involved muscular forces for a computer model of the human body,...
This study focused on comparing muscle activities predicted by the Musculoskeletal Modeling System w...
This study focused on comparing muscle activities predicted by the Musculoskeletal Modeling System w...
The aim of this study is to test the use of the human body model for the muscle activity computation...
40ème congrès de la Sociéte de Biomécanique francophone, PARIS, FRANCE, 28-/10/2015 - 30/10/2015In o...
The aim of this study was to analyze the literature on muscle activation measured by surface electro...
Buchanan, Thomas S.Higginson, Jill S.Experimental gait analysis was developed to analyze and calcula...
Aim of the study was to identify the different modalities of activation of gastrocnemius lateralis (...
Computational methods to estimate muscle forces during walking are becoming more common in biomechan...
Background Muscle force estimation could improve clinical gait analysis by enhancing insight into ca...
This study focused on validating muscle activities predicted by the a Lower Limb musculoskeletal mod...
An EMG-driven muscle model is described and applied to the analysis of a loaded squat movement, vert...
Introduction: Muscle activation under different contraction paradigms and rate of force or torque de...
Objective: Musculoskeletal modeling has been used to predict the effect of functional electrical sti...
Introduction: The validation of the involved muscular forces for a computer model of the human body,...
This study focused on comparing muscle activities predicted by the Musculoskeletal Modeling System w...
This study focused on comparing muscle activities predicted by the Musculoskeletal Modeling System w...
The aim of this study is to test the use of the human body model for the muscle activity computation...
40ème congrès de la Sociéte de Biomécanique francophone, PARIS, FRANCE, 28-/10/2015 - 30/10/2015In o...
The aim of this study was to analyze the literature on muscle activation measured by surface electro...
Buchanan, Thomas S.Higginson, Jill S.Experimental gait analysis was developed to analyze and calcula...
Aim of the study was to identify the different modalities of activation of gastrocnemius lateralis (...
Computational methods to estimate muscle forces during walking are becoming more common in biomechan...