Evidence map›Paper›PMID 28833237›Full record

ArticleMuscle & nerve2018

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

Brian D Doll, Nicholas A Kirsch, Xuefeng Bao, Brad E Dicianno, Nitin Sharma

Abstract read
In one paragraph

Article in Muscle & nerve, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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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

5 authors.

Brian D DollBechtel Marine Propulsion Corporation, Pittsburgh, Pennsylvania, USA.
Nicholas A KirschIam Robotics, Pittsburgh, Pennsylvania, USA.
Xuefeng BaoDepartment of Mechanical Engineering and Materials Science, 636 Benedum Hall, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261, USA.
Brad E DiciannoDepartment of Physical Medicine and Rehabilitation Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Nitin SharmaDepartment of Mechanical Engineering and Materials Science, 636 Benedum Hall, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261, USA.

Funding

Control of FES and an Electric Motor Drive for a hybrid gait neuroprosthesisR03HD086529 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SHARMA, NITIN · 2015 to 2016
$140k
NICHD NIH HHS R03 HD086529
6 · The paper itself

Abstract

introductionOptimal frequency modulation during functional electrical stimulation (FES) may minimize or delay the onset of FES-induced muscle fatigue.

methodsAn offline dynamic optimization method, constrained to a modified Hill-Huxley model, was used to determine the minimum number of pulses that would maintain a constant desired isometric contraction force.

resultsSix able-bodied participants were recruited for the experiments, and their quadriceps muscles were stimulated while they sat on a leg extension machine. The force-time (F-T) integrals and peak forces after the pulse train was delivered were found to be statistically significantly greater than the force-time integrals and peak forces obtained after a constant frequency train was delivered. DISCUSSION: Experimental results indicated that the optimized pulse trains induced lower levels of muscle fatigue compared with constant frequency pulse trains. This could have a potential advantage over current FES methods that often choose a constant frequency stimulation train. Muscle Nerve 57: 634-641, 2018.

Indexed as

Isometric ContractionMuscle FatigueQuadriceps MuscleAdultElectric StimulationHealthy VolunteersHumansMaleNonlinear DynamicsYoung Adultdynamic optimizationFESfunctional electrical stimulationHill-Huxley modelmuscle fatiguemuscle force predictionneuromuscular electrical stimulation

Identifiers

PMID28833237
PMCPMC5817016

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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.