Literature DB >> 14765699

Sliding mode closed-loop control of FES: controlling the shank movement.

Saso Jezernik1, Ruben G V Wassink, Thierry Keller.   

Abstract

Functional electrical stimulation (FES) enables restoration of movement in individuals with spinal cord injury. FES-based devices use electric current pulses to stimulate and excite the intact peripheral nerves. They produce muscle contractions, generate joint torques, and thus, joint movements. Since the underlying neuromuscular-skeletal system is highly nonlinear and time-varying, feedback control is necessary for accurate control of the generated movement. However, classical feedback/closed-loop control algorithms have so far failed to provide satisfactory performance and were not able to guarantee stability of the closed-loop system. Because of this, only open-loop controlled FES devices are in clinical use in spite of their limitations. The purpose of the reported research was to design a novel closed-loop FES controller that achieves good tracking performance and guarantees closed-loop stability. Such a controller was designed based on a mathematical neuromuscular-skeletal model and is founded on a sliding mode control theory. The controller was used to control shank movement and was tested in computer simulations as well as in actual experiments on healthy and spinal cord injured subjects. It demonstrated good robustness, stability, and tracking performance properties.

Entities:  

Mesh:

Year:  2004        PMID: 14765699     DOI: 10.1109/TBME.2003.820393

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  13 in total

1.  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

2.  Semiparametric Identification of Human Arm Dynamics for Flexible Control of a Functional Electrical Stimulation Neuroprosthesis.

Authors:  Eric M Schearer; Yu-Wei Liao; Eric J Perreault; Matthew C Tresch; William D Memberg; Robert F Kirsch; Kevin M Lynch
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-02-29       Impact factor: 3.802

3.  A biomechanical model to estimate corrective changes in muscle activation patterns for stroke patients.

Authors:  Qi Shao; Thomas S Buchanan
Journal:  J Biomech       Date:  2008-08-30       Impact factor: 2.712

4.  Toward an implantable functional electrical stimulation device to correct strabismus.

Authors:  Federico G Velez; Jun Isobe; David Zealear; Jack W Judy; V Reggie Edgerton; Stephanie Patnode; Hyowon Lee; Brian T Hahn
Journal:  J AAPOS       Date:  2009-04-16       Impact factor: 1.220

5.  A Modified Dynamic Surface Controller for Delayed Neuromuscular Electrical Stimulation.

Authors:  Naji Alibeji; Nicholas Kirsch; Brad E Dicianno; Nitin Sharma
Journal:  IEEE ASME Trans Mechatron       Date:  2017-05-16       Impact factor: 5.303

6.  Error mapping controller: a closed loop neuroprosthesis controlled by artificial neural networks.

Authors:  Alessandra Pedrocchi; Simona Ferrante; Elena De Momi; Giancarlo Ferrigno
Journal:  J Neuroeng Rehabil       Date:  2006-10-09       Impact factor: 4.262

7.  Evoked Electromyographically Controlled Electrical Stimulation.

Authors:  Mitsuhiro Hayashibe
Journal:  Front Neurosci       Date:  2016-07-14       Impact factor: 4.677

8.  Hybrid FES-robot cooperative control of ambulatory gait rehabilitation exoskeleton.

Authors:  Antonio J del-Ama; Angel Gil-Agudo; José L Pons; Juan C Moreno
Journal:  J Neuroeng Rehabil       Date:  2014-03-04       Impact factor: 4.262

9.  Prediction of the Wrist Joint Position During a Postural Tremor Using Neural Oscillators and an Adaptive Controller.

Authors:  Hamid Reza Kobravi; Sara Hemmati Ali; Masood Vatandoust; Rasoul Marvi
Journal:  J Med Signals Sens       Date:  2016 Apr-Jun

10.  Control of Dynamic Limb Motion Using Fatigue-Resistant Asynchronous Intrafascicular Multi-Electrode Stimulation.

Authors:  Mitchell A Frankel; V John Mathews; Gregory A Clark; Richard A Normann; Sanford G Meek
Journal:  Front Neurosci       Date:  2016-09-13       Impact factor: 4.677

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