Literature DB >> 9339165

Reduction of the fatigue-induced force decline in human skeletal muscle by optimized stimulation trains.

S A Binder-Macleod1, S C Lee, S A Baadte.   

Abstract

OBJECTIVE: To identify the stimulation pattern that optimizes the force-time integral produced during isometric contractions of fatigued human skeletal muscle.
DESIGN: Twelve healthy subjects with no history of lower extremity orthopedic problems voluntarily participated.
RESULTS: The primary findings were that (1) the optimized trains showed augmentation only from fatigued muscles and (2) a simple stimulation pattern, containing one brief (5msec) initial interpulse interval, produced the greatest force-time integrals and rates of rise of force. With muscle fatigue, the rate of rise of force of the constant-frequency train slowed, whereas the rate of rise of force of the optimized trains remained unchanged. This difference in the rate of rise of force may explain why the optimized trains, which take advantage of the catchlike property of skeletal muscle, are able to augment forces from fatigued muscles when compared with the constant-frequency train.
CONCLUSIONS: These results may have important clinical implications when using brief trains of electric stimulation to aid patients in performing functional movements and contribute to our understanding of the relationship between the activation pattern of a muscle and the force output produced.

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Year:  1997        PMID: 9339165     DOI: 10.1016/s0003-9993(97)90140-4

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  9 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.  Mathematical model that predicts the force-intensity and force-frequency relationships after spinal cord injuries.

Authors:  Jun Ding; Li-Wei Chou; Trisha M Kesar; Samuel C K Lee; Therese E Johnston; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2007-08       Impact factor: 3.217

3.  Dynamic optimization of stimulation frequency to reduce isometric muscle fatigue using a modified Hill-Huxley model.

Authors:  Brian D Doll; Nicholas A Kirsch; Xuefeng Bao; Brad E Dicianno; Nitin Sharma
Journal:  Muscle Nerve       Date:  2017-09-18       Impact factor: 3.217

4.  Doublet of action potentials evoked by intracellular injection of rectangular depolarization current into rat motoneurones.

Authors:  W Mrówczyński; P Krutki; V Chakarov; J Celichowski
Journal:  Exp Brain Res       Date:  2010-07-03       Impact factor: 1.972

5.  Doublet electrical stimulation enhances torque production in people with spinal cord injury.

Authors:  Ya-Ju Chang; Richard K Shields
Journal:  Neurorehabil Neural Repair       Date:  2011-02-08       Impact factor: 3.919

6.  A predictive mathematical model of muscle forces for children with cerebral palsy.

Authors:  Samuel C K Lee; Jun Ding; Laura A Prosser; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  Dev Med Child Neurol       Date:  2009-08-24       Impact factor: 5.449

7.  Diminished fatigue at reduced muscle length in human skeletal muscle.

Authors:  Samuel C K Lee; Anthony Braim; Cara N Becker; Laura A Prosser; Ann M Tokay; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2007-12       Impact factor: 3.217

8.  Intramuscular stimulation of tibialis anterior in human subjects: the effects of discharge variability on force production and fatigue.

Authors:  Michael Leitch; Rachael Brown; Vaughan G Macefield
Journal:  Physiol Rep       Date:  2017-08

9.  Development of a mathematical model for predicting electrically elicited quadriceps femoris muscle forces during isovelocity knee joint motion.

Authors:  Ramu Perumal; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2008-12-10       Impact factor: 4.262

  9 in total

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