Evidence map›Paper›PMID 30168443›Full record

ArticleJournal of neural engineering2018

Mitigation of excessive fatigue associated with functional electrical stimulation.

Alie J Buckmire, Tapas J Arakeri, J P Reinhard, Andrew J Fuglevand

Abstract read
In one paragraph

Article in Journal of neural engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 42% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

4 authors at 1 institution in 1 country.

Alie J BuckmireDepartment of Physiology, College of Medicine, University of Arizona, Tucson, AZ, United States of America.
Tapas J ArakeriDepartment of Physiology, College of Medicine, University of Arizona, Tucson, AZ, United States of America.
J P ReinhardDepartment of Anesthesiology, College of Medicine, University of Arizona, Tucson, AZ, United States of America.
Andrew J FuglevandDepartment of Physiology, College of Medicine, University of Arizona, Tucson, AZ, United States of America.ORCID 0000-0002-4349-6478
University of Arizona · US

Funding

Machine-learning based control of functional electrical stimulationR01NS102259 · NINDS · UNIVERSITY OF ARIZONA · PI FUGLEVAND, ANDREW J · 2018 to 2021
$1.3M
Machine Learning-Based Control of Functional Electrical StimulationR56NS096064 · NINDS · UNIVERSITY OF ARIZONA · PI FUGLEVAND, ANDREW J · 2017 to 2017
$371k
NINDS NIH HHS R01 NS102259NINDS NIH HHS R56 NS096064
6 · The paper itself

Abstract

objectiveRestoration of motor function in paralyzed limbs using functional electrical stimulation (FES) is undermined by rapid fatigue associated with artificial stimulation. Typically, single electrodes are used to activate muscles with FES. However, due to the highly distributed branching of muscle nerves, a single electrode may not be able to activate the entire array of motor axons supplying a muscle. Therefore, stimulating muscle with multiple electrodes might enable access to a larger volume of muscle and thereby reduce fatigue. APPROACH: Accordingly, we compared the endurance times that ankle dorsiflexion could be sustained at 20% maximum voluntary force using feedback controlled stimulation (25 Hz) of human tibialis anterior (TA) using one or four percutaneous intramuscular electrodes. In addition, we measured endurance times in response to direct stimulation of the nerve supplying TA and during voluntary contraction. In all sessions involving electrical stimulation, an anesthetic nerve block proximal to the site of stimulation was used to isolate the effects of stimulation and alleviate discomfort. MAIN

resultsEndurance time associated with stimuli delivered by a single intramuscular electrode (84  ±  19 s) was significantly smaller than that elicited by four intramuscular electrodes (232  ±  123 s). Moreover, endurance time in response to nerve stimulation (787  ±  201 s) was not significantly different that that produced during voluntary contraction (896  ±  272 s). SIGNIFICANCE: Therefore, excessive fatigue associated with FES is probably due to the inability of conventional FES systems to enlist the full complement of motor axons innervating muscle and can be mitigated using multiple electrodes or nerve-based electrodes.

Indexed as

AdultAnkleElectric StimulationElectrodesElectromyographyFatigueFeedback, PhysiologicalFemaleHealthy VolunteersHumansMaleMiddle AgedMuscle ContractionMuscle FatigueMuscle, SkeletalPhysical Endurance

Identifiers

PMID30168443
PMCPMC6370345
OpenAlexW2888932276

What OpenQuestion holds

Textmetadata
LicenceTDM
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.