Literature DB >> 16690326

Muscle enhancement using closed-loop electrical stimulation: volitional versus induced torque.

E Langzam1, Y Nemirovsky, E Isakov, J Mizrahi.   

Abstract

In cases of partial deficiency of muscle activation capacity, force augmentation can be achieved by hybrid activation, i.e., by combining electrical stimulation (ES) with volitional activation. In this activation modality the shares of the volitional and induced torques within the overall hybrid torque are unknown. The purpose of this study was to suggest a computational approach to parcel out the volitional and stimulation induced components of joint torque generated during combined voluntary and electrical activation of the Tibialis Anterior muscle (TA). For this purpose, isometric contraction of the TA was studied on 5 healthy subjects, using an activation protocol involving ES alone, volitional activation alone and hybrid activation. Ankle torque and TA EMG were measured. A computational algorithm was developed to dissociate the volitional from the overall torque, based on EMG filtering and on pre-measured calibration curves of volitional torque versus EMG. The results indicated that for a certain hybrid torque there is a linear decaying relationship between the induced torque and the volitional torque shares. Moreover, based on a defined enhancement ratio, the results indicate that within the range of stimulation intensities, there exist regions of increased facilitation, in which the stimulation efficiency is higher under combined compared to isolated conditions.

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Year:  2006        PMID: 16690326     DOI: 10.1016/j.jelekin.2006.03.001

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  7 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.  Hardware System for Real-Time EMG Signal Acquisition and Separation Processing during Electrical Stimulation.

Authors:  Ya-Hsin Hsueh; Chieh Yin; Yan-Hong Chen
Journal:  J Med Syst       Date:  2015-07-26       Impact factor: 4.460

3.  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

4.  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

5.  Interaction of poststroke voluntary effort and functional neuromuscular electrical stimulation.

Authors:  Nathaniel Makowski; Jayme Knutson; John Chae; Patrick Crago
Journal:  J Rehabil Res Dev       Date:  2013

Review 6.  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

7.  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

  7 in total

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