Literature DB >> 17009492

Partition between volitional and induced forces in electrically augmented dynamic isometric muscle contractions.

Eran Langzam1, Yael Nemirovsky, Eli Isakov, Joseph Mizrahi.   

Abstract

Augmentation of force in partially deficient muscles can be achieved by combining electrical stimulation (ES) with their volitional activation (hybrid activation). However, while the overall torque results from the combination of the volitional and the electrically-induced torque components, the exact share between these components is not known. In a previous work, we described a method to resolve the share between the torque components under isometric static contractions. In this work, we extend our analysis to the case of isometric dynamic contractions. Five healthy subjects were instructed to contract their Tibialis Anterior (TA) muscles according to a typical gait-like dynamic torque pattern, that was visually displayed to them, while monitoring their actual ankle torque and TA electromyography (EMG). These experiments were done with and without augmented activation by means of ES. A computational algorithm was developed to dissociate the volitional from the overall torque, based on EMG signal processing and on precalibration of the dynamic system of the volitional torque versus EMG. The results indicated the quantitative relations between decrease in the volitional torque and the required increase in ES enhancement. The developed method also demonstrated what ES intensity profile is necessary to produce a desired overall torque output. This provides the means for designing an adaptive rehabilitation device for the hybrid activation of deficient muscles.

Mesh:

Year:  2006        PMID: 17009492     DOI: 10.1109/TNSRE.2006.881591

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  8 in total

1.  A phenomenological model that predicts forces generated when electrical stimulation is superimposed on submaximal volitional contractions.

Authors:  Ramu Perumal; Anthony S Wexler; Trisha M Kesar; Angela Jancosko; Yocheved Laufer; Stuart A Binder-Macleod
Journal:  J Appl Physiol (1985)       Date:  2010-03-18

2.  Alteration of neural action potential patterns by axonal stimulation: the importance of stimulus location.

Authors:  Patrick E Crago; Nathaniel S Makowski
Journal:  J Neural Eng       Date:  2014-08-27       Impact factor: 5.379

3.  Contributions to muscle force and EMG by combined neural excitation and electrical stimulation.

Authors:  Patrick E Crago; Nathaniel S Makowski; Natalie M Cole
Journal:  J Neural Eng       Date:  2014-09-22       Impact factor: 5.379

Review 4.  Neural adaptations to electrical stimulation strength training.

Authors:  Tibor Hortobágyi; Nicola A Maffiuletti
Journal:  Eur J Appl Physiol       Date:  2011-06-04       Impact factor: 3.078

5.  Evaluation of methods for extraction of the volitional EMG in dynamic hybrid muscle activation.

Authors:  Eran Langzam; Eli Isakov; Joseph Mizrahi
Journal:  J Neuroeng Rehabil       Date:  2006-11-23       Impact factor: 4.262

6.  Methods for Dynamic Characterization of the Major Muscles Activating the Lower Limb Joints in Cycling Motion.

Authors:  Navit Roth; Avi Wiener; Joseph Mizrahi
Journal:  Eur J Transl Myol       Date:  2014-04-02

7.  Human-FES Cooperative Control for Wrist Movement: A Preliminary Study.

Authors:  Kai Gui; Hiroshi Yokoi; Dingguo Zhang
Journal:  Eur J Transl Myol       Date:  2016-07-15

8.  Mechanical Impedance and Its Relations to Motor Control, Limb Dynamics, and Motion Biomechanics.

Authors:  Joseph Mizrahi
Journal:  J Med Biol Eng       Date:  2015-01-27       Impact factor: 1.553

  8 in total

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