Literature DB >> 12217086

Functional Neuromuscular Stimulation for articular angle control with an Inverse Dynamics Model tuned by a neural network.

Naoki Yoshida1, Yutaka Tomita, Satoshi Honda, Eiichi Saitoh.   

Abstract

A Functional Neuromuscular Stimulation (FNS) system was developed to restore the motor function of people with central nervous system disorders. An FNS articular angle control system with an Inverse Dynamics Model (IDM) tuned by a neural network was proposed. The system was designed to control the elbow joint angles by learning the characteristics of the neuromuscular system of controlled limbs. Three kinds of control schemes using the IDM were proposed. In a simulation experiment, the system was able to learn the abnormal characteristics of a limb and any changes in these characteristics, and then allow for better control of the limb. The results of experiments using human participants showed that the system had ability to control both normal and paralysed limbs.

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Year:  2002        PMID: 12217086     DOI: 10.1080/00140130210142074

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  3 in total

1.  Automated optimal coordination of multiple-DOF neuromuscular actions in feedforward neuroprostheses.

Authors:  J Luis Lujan; Patrick E Crago
Journal:  IEEE Trans Biomed Eng       Date:  2009-01       Impact factor: 4.538

2.  Combined feedforward and feedback control of a redundant, nonlinear, dynamic musculoskeletal system.

Authors:  Dimitra Blana; Robert F Kirsch; Edward K Chadwick
Journal:  Med Biol Eng Comput       Date:  2009-04-03       Impact factor: 2.602

Review 3.  Restoration of motor function following spinal cord injury via optimal control of intraspinal microstimulation: toward a next generation closed-loop neural prosthesis.

Authors:  Peter J Grahn; Grant W Mallory; B Michael Berry; Jan T Hachmann; Darlene A Lobel; J Luis Lujan
Journal:  Front Neurosci       Date:  2014-09-17       Impact factor: 4.677

  3 in total

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