Literature DB >> 10188609

Optimal control of walking with functional electrical stimulation: a computer simulation study.

D Popović1, R B Stein, N Oğuztöreli, M Lebiedowska, S Jonić.   

Abstract

Bipedal locomotion was simulated to generate a pattern of activating muscles for walking using electrical stimulation in persons with spinal cord injury (SCI) or stroke. The simulation presented in this study starts from a model of the body determined with user-specific parameters, individualized with respect to the lengths, masses, inertia, muscle and joint properties. The trajectory used for simulation was recorded from an able-bodied subject while walking with ankle-foot orthoses. A discrete mathematical model and dynamic programming were used to determine the optimal control. A cost function was selected as the sum of the squares of the tracking errors from the desired trajectories, and the weighted sum of the squares of agonist and antagonist activations of the muscle groups acting around the hip and knee joints. The aim of the simulation was to study plausible trajectories keeping in mind the limitations imposed by the spinal cord injury or stroke (e.g., spasticity, decreased range of movements in some joints, limited strength of paralyzed, externally activated muscles). If the muscles were capable of generating the movements required and the trajectory was achieved, then the simulation provided two kinds of information: 1) timing of the onset and offset of muscle activations with respect to the various gait events and 2) patterns of activation with respect to the maximum activation. These results are important for synthesizing a rule-based controller.

Entities:  

Mesh:

Year:  1999        PMID: 10188609     DOI: 10.1109/86.750554

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


  16 in total

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Authors:  Emanuel Todorov
Journal:  Nat Neurosci       Date:  2004-09       Impact factor: 24.884

2.  Computer-based test-bed for clinical assessment of hand/wrist feed-forward neuroprosthetic controllers using artificial neural networks.

Authors:  J L Luján; P E Crago
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

3.  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

4.  Sub-optimally Solving Actuator Redundancy in a Hybrid Neuroprosthetic System with a Multi-layer Neural Network Structure.

Authors:  Xuefeng Bao; Zhi-Hong Mao; Paul Munro; Ziyue Sun; Nitin Sharma
Journal:  Int J Intell Robot Appl       Date:  2019-08-14

5.  Bilateral Control of Functional Electrical Stimulation and Robotics-based Telerehabilitation.

Authors:  Naji Alibeji; Brad E Dicianno; Nitin Sharma
Journal:  Int J Intell Robot Appl       Date:  2017-01-04

6.  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

7.  A Tube-based Model Predictive Control Method to Regulate a Knee Joint with Functional Electrical Stimulation and Electric Motor Assist.

Authors:  Xuefeng Bao; Zhiyu Sheng; Brad E Dicianno; Nitin Sharma
Journal:  IEEE Trans Control Syst Technol       Date:  2020-11-16       Impact factor: 5.418

8.  Model Predictive Control of a Feedback-Linearized Hybrid Neuroprosthetic System With a Barrier Penalty.

Authors:  Xuefeng Bao; Nicholas Kirsch; Albert Dodson; Nitin Sharma
Journal:  J Comput Nonlinear Dyn       Date:  2019-09-09

9.  Feasibility of EMG-based neural network controller for an upper extremity neuroprosthesis.

Authors:  Juan Gabriel Hincapie; Robert F Kirsch
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-02       Impact factor: 3.802

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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