Evidence map›Paper›PMID 18174446›Full record

ArticlePhysical therapy2008

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

Li-Wei Chou, Trisha M Kesar, Stuart A Binder-Macleod

Open access · greenAbstract read
In one paragraph

Article in Physical therapy, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Mimicking muscle activity with electrical stimulation.Journal of neural engineering · 2011
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  9. Variable stimulation patterns in younger and older thenar muscle.Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology · 2012
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  11. Trunk and hip muscle activity in early walkers with and without cerebral palsy--a frequency analysis.Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology · 2010
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Li-Wei ChouDepartment of Physiology, University of Arizona, Tucson, Ariz, USA.
Trisha M Kesar
Stuart A Binder-Macleod
University of Delaware · USUniversity of Arizona · US

Funding

Robotic Exoskeletons, FES, and Biomechanics: Treating Movement DisordersR01HD038582 · NICHD · UNIVERSITY OF DELAWARE · PI BINDER-MACLEOD, STUART A. · 2002 to 2012
$6.1M
FORCE OPTIMIZATION IN SKELETAL MUSCLER01HD036797 · NICHD · UNIVERSITY OF DELAWARE · PI BINDER-MACLEOD, STUART A. · 1998 to 2005
$1.5M
NICHD NIH HHS HD36797NICHD NIH HHS HD38582NICHD NIH HHS R01 HD036797NICHD NIH HHS R01 HD038582
6 · The paper itself

Abstract

background and purposeDuring 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

methodsThe 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.

resultsThe 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

conclusionThe 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.

Indexed as

AdultElectric StimulationFemaleHumansIsometric ContractionMaleModels, BiologicalMuscle FatigueMuscle, SkeletalRecruitment, Neurophysiological

Identifiers

PMID18174446
PMCPMC2659407
OpenAlexW2127005460

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.