Literature DB >> 11870697

Electrical stimulation factors in potentiation of human quadriceps femoris.

Stuart A Binder-Macleod1, Jesse C Dean, Jun Ding.   

Abstract

Potentiation is the enhancement of force seen after repetitive activation of skeletal muscle. The frequency and duration of stimulation, total number of pulses delivered to the muscle, and the peak forces or force-time integrals produced by the stimulation all have been suggested to affect the degree of potentiation. The purpose of this study was to determine the effect of the electrical stimulation characteristics on the development of post-activation potentiation. Eleven subjects were tested with five potentiating trains, including 12-pulse 100-HZ, 31-HZ, 14-HZ, and 5-HZ, and 6-pulse 14-HZ trains. The potentiating trains differed in stimulation frequency, train duration, and total number of pulses. They also produced different peak forces and force time integrals from the activated muscles. Our results showed that the 12-pulse 5-HZ train produced about 50% less potentiation than the other four potentiating trains. At stimulation frequencies of 14 HZ or higher, the total number of pulses delivered to the muscle was the primary factor in potentiation development. Furthermore, peak force and force-time integral had no effects on the rate or amount of potentiation. These results should help clinicians and researchers to design protocols that control for the effects of muscle potentiation. Copyright 2002 John Wiley & Sons, Inc.

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Year:  2002        PMID: 11870697     DOI: 10.1002/mus.10027

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  13 in total

1.  What are the stimulation parameters that affect the extent of twitch force potentiation in the adductor pollicis muscle?

Authors:  Joni A Mettler; Lisa Griffin
Journal:  Eur J Appl Physiol       Date:  2010-08-25       Impact factor: 3.078

2.  Postactivation potentiation of short tetanic contractions is differently influenced by stimulation frequency in young and elderly adults.

Authors:  Stéphane Baudry; Malgorzata Klass; Jacques Duchateau
Journal:  Eur J Appl Physiol       Date:  2008-07       Impact factor: 3.078

3.  Contractile history affects sag and boost properties of unfused tetanic contractions in human quadriceps muscles.

Authors:  Ian C Smith; Franziska Onasch; Katarzyna Kryściak; Jan Celichowski; Walter Herzog
Journal:  Eur J Appl Physiol       Date:  2020-11-22       Impact factor: 3.078

4.  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

5.  Electrode type and placement configuration for quadriceps activation evaluation.

Authors:  Brian G Pietrosimone; Noelle M Selkow; Christopher D Ingersoll; Joseph M Hart; Susan A Saliba
Journal:  J Athl Train       Date:  2011 Nov-Dec       Impact factor: 2.860

6.  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

7.  Twitch potentiation after voluntary versus electrically induced isometric contractions in human knee extensor muscles.

Authors:  Bernardo Requena; Helena Gapeyeva; Inmaculada García; Jaan Ereline; Mati Pääsuke
Journal:  Eur J Appl Physiol       Date:  2008-06-18       Impact factor: 3.078

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

Authors:  Li-Wei Chou; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  Phys Ther       Date:  2008-01-03

9.  The effects of stimulation frequency and fatigue on the force-intensity relationship for human skeletal muscle.

Authors:  Li-Wei Chou; Stuart A Binder-Macleod
Journal:  Clin Neurophysiol       Date:  2007-04-26       Impact factor: 3.708

10.  Using submaximal contractions to predict the maximum force-generating ability of muscles.

Authors:  Sarah Flynn; Brian A Knarr; Ramu Perumal; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2012-06       Impact factor: 3.217

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