Literature DB >> 18174446

Using customized rate-coding and recruitment strategies to maintain forces during repetitive activation of human muscles.

Li-Wei Chou1, Trisha M Kesar, Stuart A Binder-Macleod.   

Abstract

BACKGROUND AND
PURPOSE: During functional electrical stimulation (FES), clinicians typically increase stimulation intensity to offset fatigue and maintain functional levels of force production. However, recent studies have suggested that increasing the stimulation frequency is an effective strategy for overcoming fatigue during FES. The purpose of this study was to compare the effectiveness of 5 stimulation strategies on maintaining forces during repetitive isometric muscle activation. SUBJECTS AND METHODS: The right quadriceps femoris muscles of 12 subjects with no history of lower-extremity orthopedic, neurological, or vascular problems were tested. The 5 stimulation strategies were: progressively increasing the frequency, progressively increasing the intensity, and 3 combination protocols that first increased the intensity and then increased the frequency. The only difference among the 3 combination protocols was the starting frequency used in each protocol (20, 30, or 40 Hz). For all protocols, the stimulation frequency or intensity was increased progressively every time the peak force declined more than 10% from a targeted force level. The specific step increases in frequency or intensity were customized for each subject. A contraction was defined as successful when its peak force exceeded 90% of the targeted force level.
RESULTS: The results showed that progressively increasing only the frequency produced 59% more successful contractions than progressively increasing only the intensity. In addition, the combination stimulation protocol that began with 30-Hz trains produced the most successful contractions (mean=1,205 contractions; 35%-74% more than the other 4 protocols tested). DISCUSSION AND
CONCLUSION: The results suggest that increasing the stimulation intensity and then the frequency is the best strategy to maintain muscle performance and could help clinicians design optimal stimulation protocols to use for each patient during FES.

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Mesh:

Year:  2008        PMID: 18174446      PMCID: PMC2659407          DOI: 10.2522/ptj.20070201

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  43 in total

1.  Stochastically-modulated stimulation to slow down muscle fatigue at stimulated sites in paraplegics using functional electrical stimulation for leg extension.

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Journal:  Neurol Res       Date:  2000-10       Impact factor: 2.448

2.  Strategies that improve human skeletal muscle performance during repetitive, non-isometric contractions.

Authors:  Maikutlo B Kebaetse; Stuart A Binder-Macleod
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Journal:  Brain Res       Date:  1975-11-07       Impact factor: 3.252

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Journal:  Med Biol Eng Comput       Date:  1977-01       Impact factor: 2.602

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Journal:  Electroencephalogr Clin Neurophysiol       Date:  1972-05

6.  "Muscular wisdom" that minimizes fatigue during prolonged effort in man: peak rates of motoneuron discharge and slowing of discharge during fatigue.

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Journal:  Exp Neurol       Date:  1979-05       Impact factor: 5.330

8.  Effects of stimulation frequency versus pulse duration modulation on muscle fatigue.

Authors:  Trisha Kesar; Li-Wei Chou; Stuart A Binder-Macleod
Journal:  J Electromyogr Kinesiol       Date:  2007-02-21       Impact factor: 2.368

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Journal:  J Physiol       Date:  1977-11       Impact factor: 5.182

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Authors:  C G Kukulka; H P Clamann
Journal:  Brain Res       Date:  1981-08-24       Impact factor: 3.252

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  12 in total

1.  Enhancing muscle force and femur compressive loads via feedback-controlled stimulation of paralyzed quadriceps in humans.

Authors:  Shauna Dudley-Javoroski; Andrew E Littmann; Shuo-Hsiu Chang; Colleen L McHenry; Richard K Shields
Journal:  Arch Phys Med Rehabil       Date:  2011-02       Impact factor: 3.966

2.  Trunk and hip muscle activity in early walkers with and without cerebral palsy--a frequency analysis.

Authors:  Laura A Prosser; Samuel C K Lee; Mary F Barbe; Ann F VanSant; Richard T Lauer
Journal:  J Electromyogr Kinesiol       Date:  2010-05-15       Impact factor: 2.368

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.  Repetetive hindlimb movement using intermittent adaptive neuromuscular electrical stimulation in an incomplete spinal cord injury rodent model.

Authors:  Mallika D Fairchild; Seung-Jae Kim; Alex Iarkov; James J Abbas; Ranu Jung
Journal:  Exp Neurol       Date:  2010-03-03       Impact factor: 5.330

5.  Variable stimulation patterns in younger and older thenar muscle.

Authors:  Barbara M Doucet; Lisa Griffin
Journal:  J Electromyogr Kinesiol       Date:  2012-01-04       Impact factor: 2.368

6.  Mimicking muscle activity with electrical stimulation.

Authors:  Lise A Johnson; Andrew J Fuglevand
Journal:  J Neural Eng       Date:  2011-01-19       Impact factor: 5.379

Review 7.  Novel patterns of functional electrical stimulation have an immediate effect on dorsiflexor muscle function during gait for people poststroke.

Authors:  Trisha M Kesar; Ramu Perumal; Angela Jancosko; Darcy S Reisman; Katherine S Rudolph; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Phys Ther       Date:  2009-11-19

8.  Effect of Stochastic Modulation of Inter-Pulse Interval During Stimulated Isokinetic Leg Extension.

Authors:  Efe Anil Aksöz; Marco Laubacher; Stuart Binder-Macleod; Kenneth J Hunt
Journal:  Eur J Transl Myol       Date:  2016-07-15

9.  Predicting non-isometric fatigue induced by electrical stimulation pulse trains as a function of pulse duration.

Authors:  M Susan Marion; Anthony S Wexler; Maury L Hull
Journal:  J Neuroeng Rehabil       Date:  2013-02-02       Impact factor: 4.262

10.  Power output and fatigue properties using spatially distributed sequential stimulation in a dynamic knee extension task.

Authors:  Marco Laubacher; Anil Efe Aksöz; Robert Riener; Stuart Binder-Macleod; Kenneth J Hunt
Journal:  Eur J Appl Physiol       Date:  2017-07-03       Impact factor: 3.078

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