Evidence map›Paper›PMID 23374142›Full record

ArticleJournal of neuroengineering and rehabilitation2013

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

M Susan Marion, Anthony S Wexler, Maury L Hull

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

M Susan MarionBiomedical Engineering Program, University of California, Davis, CA 95616, USA. sumerian@udel.edu
Anthony S Wexler
Maury L Hull
University of California, Davis · US

Funding

Robotic Exoskeletons, FES, and Biomechanics: Treating Movement DisordersR01HD038582 · NICHD · UNIVERSITY OF DELAWARE · PI BINDER-MACLEOD, STUART A. · 2002 to 2012
$6.1M
NICHD NIH HHS R01 HD038582-08PHS HHS H133G0200137
6 · The paper itself

Abstract

backgroundOur previous model of the non-isometric muscle fatigue that occurs during repetitive functional electrical stimulation included models of force, motion, and fatigue and accounted for applied load but not stimulation pulse duration. Our objectives were to: 1) further develop, 2) validate, and 3) present outcome measures for a non-isometric fatigue model that can predict the effect of a range of pulse durations on muscle fatigue.

methodsA computer-controlled stimulator sent electrical pulses to electrodes on the thighs of 25 able-bodied human subjects. Isometric and non-isometric non-fatiguing and fatiguing knee torques and/or angles were measured. Pulse duration (170-600 μs) was the independent variable. Measurements were divided into parameter identification and model validation subsets.

resultsThe fatigue model was simplified by removing two of three non-isometric parameters. The third remained a function of other model parameters. Between 66% and 77% of the variability in the angle measurements was explained by the new model.

conclusionMuscle fatigue in response to different stimulation pulse durations can be predicted during non-isometric repetitive contractions.

Indexed as

AdultAlgorithmsBiomechanical PhenomenaComputer SimulationElectric StimulationElectrodesFemaleHumansIsometric ContractionLegMaleMiddle AgedModels, StatisticalMuscle ContractionMuscle FatigueMuscle Strength Dynamometer

Identifiers

PMID23374142
PMCPMC3626903
OpenAlexW2159324317

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.