Literature DB >> 19154070

A model of the upper extremity using FES for stroke rehabilitation.

Chris T Freeman1, Ann-Marie Hughes, Jane H Burridge, Paul H Chappell, Paul L Lewin, Eric Rogers.   

Abstract

A model of the upper extremity is developed in which the forearm is constrained to lie in a horizontal plane and electrical stimulation is applied to the triceps muscle. Identification procedures are described to estimate the unknown parameters using tests that can be performed in a short period of time. Examples of identified parameters obtained experimentally are presented for both stroke patients and unimpaired subjects. A discussion concerning the identification's repeatability, together with results confirming the accuracy of the overall representation, is given. The model has been used during clinical trials in which electrical stimulation is applied to the triceps muscle of a number of stroke patients for the purpose of improving both their performance at reaching tasks and their level of voluntary control over their impaired arm. Its purpose in this context is threefold: Firstly, changes occurring in the levels of stiffness and spasticity in each subject's arm can be monitored by comparing frictional components of models identified at different times during treatment. Secondly, the model is used to calculate the moments applied during tracking tasks that are due to a patient's voluntary effort, and it therefore constitutes a useful tool with which to analyze their performance. Thirdly, the model is used to derive the advanced controllers that govern the level of stimulation applied to subjects over the course of the treatment. Details are provided to show how the model is applied in each case, and sample results are shown.

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Year:  2009        PMID: 19154070     DOI: 10.1115/1.3005332

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  4 in total

1.  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

2.  Functional electrical stimulation mediated by iterative learning control and 3D robotics reduces motor impairment in chronic stroke.

Authors:  Katie L Meadmore; Ann-Marie Hughes; Chris T Freeman; Zhonglun Cai; Daisy Tong; Jane H Burridge; Eric Rogers
Journal:  J Neuroeng Rehabil       Date:  2012-06-07       Impact factor: 4.262

3.  Patient-specific functional electrical stimulation strategy based on muscle synergy and walking posture analysis for gait rehabilitation of stroke patients.

Authors:  Junghwan Lim; Taehyun Lim; Jungeun Lee; Junhyuk Sim; Hyungjun Chang; Bumchul Yoon; Hoeryong Jung
Journal:  J Int Med Res       Date:  2021-05       Impact factor: 1.671

4.  Characterization of the Force Production Capabilities of Paralyzed Trunk Muscles Activated With Functional Neuromuscular Stimulation in Individuals With Spinal Cord Injury.

Authors:  Aidan R W Friederich; Musa L Audu; Ronald J Triolo
Journal:  IEEE Trans Biomed Eng       Date:  2021-07-16       Impact factor: 4.756

  4 in total

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