Bi-Dimensional Two-Joint Upper Limb Modeling

Valentina Vassilenko; Paulo José Carrilho de Sousa Gil; Luís Filipe Figueira de Brito Palma

Bi-Dimensional Two-Joint Upper Limb Modeling

Valentina Vassilenko, Paulo José Carrilho de Sousa Gil, Luís Filipe Figueira de Brito Palma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The present paper focuses on developing an integrated model to describe the static and dynamic characteristics of the human neuro-musculo-skeletal system, namely, the bi-dimensional two-joint upper limb. This model includes the shoulder and elbow joint, three pairs of antagonist muscles, descending motor commands, length and velocity feedback from muscle spindles, spinal stretch reflex, reciprocal inhibition, recurrent inhibition of Renshaw cells and feedback of Golgi tendon organs. The model simulation with computed muscle activations (in Matlab environment) are compared with experimental data from EMG measurements.

Original language	Unknown
Title of host publication	Biomedical
Pages	...
Publication status	Published - 1 Jan 2008
Event	8th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering - Duration: 1 Jan 2008 → …

Conference

Conference	8th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering
Period	1/01/08 → …

Cite this

@inproceedings{a1949ea204934f939684d9f4b3c36df7,

title = "Bi-Dimensional Two-Joint Upper Limb Modeling",

abstract = "The present paper focuses on developing an integrated model to describe the static and dynamic characteristics of the human neuro-musculo-skeletal system, namely, the bi-dimensional two-joint upper limb. This model includes the shoulder and elbow joint, three pairs of antagonist muscles, descending motor commands, length and velocity feedback from muscle spindles, spinal stretch reflex, reciprocal inhibition, recurrent inhibition of Renshaw cells and feedback of Golgi tendon organs. The model simulation with computed muscle activations (in Matlab environment) are compared with experimental data from EMG measurements.",

author = "Valentina Vassilenko and Gil, {Paulo Jos{\'e} Carrilho de Sousa} and Palma, {Lu{\'i}s Filipe Figueira de Brito}",

year = "2008",

month = jan,

day = "1",

language = "Unknown",

pages = "...",

booktitle = "Biomedical",

note = "8th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering ; Conference date: 01-01-2008",

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T1 - Bi-Dimensional Two-Joint Upper Limb Modeling

AU - Vassilenko, Valentina

AU - Gil, Paulo José Carrilho de Sousa

AU - Palma, Luís Filipe Figueira de Brito

PY - 2008/1/1

Y1 - 2008/1/1

N2 - The present paper focuses on developing an integrated model to describe the static and dynamic characteristics of the human neuro-musculo-skeletal system, namely, the bi-dimensional two-joint upper limb. This model includes the shoulder and elbow joint, three pairs of antagonist muscles, descending motor commands, length and velocity feedback from muscle spindles, spinal stretch reflex, reciprocal inhibition, recurrent inhibition of Renshaw cells and feedback of Golgi tendon organs. The model simulation with computed muscle activations (in Matlab environment) are compared with experimental data from EMG measurements.

AB - The present paper focuses on developing an integrated model to describe the static and dynamic characteristics of the human neuro-musculo-skeletal system, namely, the bi-dimensional two-joint upper limb. This model includes the shoulder and elbow joint, three pairs of antagonist muscles, descending motor commands, length and velocity feedback from muscle spindles, spinal stretch reflex, reciprocal inhibition, recurrent inhibition of Renshaw cells and feedback of Golgi tendon organs. The model simulation with computed muscle activations (in Matlab environment) are compared with experimental data from EMG measurements.

M3 - Conference contribution

SP - ...

BT - Biomedical

T2 - 8th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering

Y2 - 1 January 2008

ER -