Literature DB >> 8800224

Estimating mechanical parameters of leg segments in individuals with and without physical disabilities.

R B Stein1, E P Zehr, M K Lebiedowska, D B Popović, A Scheiner, H J Chizeck.   

Abstract

Methods are described for estimating the inertia, viscosity, and stiffness of the lower leg around the knee and of the whole leg around the hip that are applicable even to persons with considerable spasticity. These involve: 1) a "pull" test in which the limb is slowly moved throughout its range of motion while measuring angles (with an electrogoniometer) and torques (with a hand-held dynamometer) to determine passive stiffness and 2) a "pendulum" test in which the limb is moved against gravity and then dropped, while again measuring angles and torques. By limiting the extent of the movement and choosing a direction (flexion or extension) that minimizes reflex responses, the mechanical parameters can be determined accurately and efficiently using computer programs. In the sample of subjects studied (nine with disability related to spinal cord injury, head injury, or stroke, and nine with no neurological disability), the inertia of the lower leg was significantly reduced in the subjects with disability (p < 0.05) as a result of atrophy, but the stiffness and viscosity were within normal limits. The values of inertia were also compared with anthropometric data in the literature. The identification of these passive parameters is particularly important in designing systems for functional electrical stimulation of paralyzed muscles, but the methods may be widely applicable in rehabilitation medicine.

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Year:  1996        PMID: 8800224     DOI: 10.1109/86.536776

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  12 in total

1.  [Paraplegic cycling using functional electrical stimulation. Experimental and model-based study of power output].

Authors:  J Szecsi; S Krafczyk; J Quintern; M Fiegel; A Straube; T Brandt
Journal:  Nervenarzt       Date:  2004-12       Impact factor: 1.214

Review 2.  Multiscale modeling of cardiac cellular energetics.

Authors:  James B Bassingthwaighte; Howard J Chizeck; Les E Atlas; Hong Qian
Journal:  Ann N Y Acad Sci       Date:  2005-06       Impact factor: 5.691

3.  Kinematics of point-to-point finger movements.

Authors:  E G Cruz; D G Kamper
Journal:  Exp Brain Res       Date:  2006-03-17       Impact factor: 1.972

4.  Model-Based Dynamic Control Allocation in a Hybrid Neuroprosthesis.

Authors:  Nicholas A Kirsch; Xuefeng Bao; Naji A Alibeji; Brad E Dicianno; Nitin Sharma
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-09-22       Impact factor: 3.802

5.  Synthesis of optimal electrical stimulation patterns for functional motion restoration: applied to spinal cord-injured patients.

Authors:  Mourad Benoussaad; Philippe Poignet; Mitsuhiro Hayashibe; Christine Azevedo-Coste; Charles Fattal; David Guiraud
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

6.  Experimental parameter identification of a multi-scale musculoskeletal model controlled by electrical stimulation: application to patients with spinal cord injury.

Authors:  Mourad Benoussaad; Philippe Poignet; Mitsuhiro Hayashibe; Christine Azevedo-Coste; Charles Fattal; David Guiraud
Journal:  Med Biol Eng Comput       Date:  2013-02-05       Impact factor: 2.602

7.  Proportional myoelectric control of a virtual object to investigate human efferent control.

Authors:  Keith E Gordon; Daniel P Ferris
Journal:  Exp Brain Res       Date:  2004-07-16       Impact factor: 1.972

8.  The kinematic consequences of invariant dynamics in children 6-18 years of age.

Authors:  Maria K Lebiedowska
Journal:  J Biomech       Date:  2008-06-26       Impact factor: 2.712

9.  Flatness of musculoskeletal systems under functional electrical stimulation.

Authors:  Mourad Benoussaad; Frédéric Rotella; Imen Chaibi
Journal:  Med Biol Eng Comput       Date:  2020-03-18       Impact factor: 2.602

10.  Software tool for the prosthetic foot modeling and stiffness optimization.

Authors:  Matija Strbac; Dejan B Popović
Journal:  Comput Math Methods Med       Date:  2012-03-29       Impact factor: 2.238

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