Evidence map›Paper›PMID 28511128›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2017

Improving the repeatability of Motor Unit Number Index (MUNIX) by introducing additional epochs at low contraction levels.

Yun Peng, Yingchun Zhang

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Yun PengDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA.
Yingchun ZhangDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA; Guangdong Provincial Work Injury Rehabilitation Center, Guangzhou, Guangdong 510000, China. Electronic address: yzhang94@uh.edu.

Funding

Electromechanical Modeling Approach in Assessing Female SUIR00DK082644 · NIDDK · UNIVERSITY OF HOUSTON · PI ZHANG, YINGCHUN · 2013 to 2015
$690k
Electromechanical Modeling Approach in Assessing Female SUIK99DK082644 · NIDDK · UNIVERSITY OF MINNESOTA · PI ZHANG, YINGCHUN · 2010 to 2011
$180k
NIDDK NIH HHS K99 DK082644NIDDK NIH HHS R00 DK082644
6 · The paper itself

Abstract

objectiveTo evaluate the repeatability of (Motor Unit Number Index) MUNIX under repeatability conditions, specify the origin of variations and provide strategies for quality control.

methodsMUNIX calculations were performed on the bicep brachii muscles of eight healthy subjects. Negative effect of suboptimal electrode positions on MUNIX accuracy was eliminated by employing the high-density surface electromyography technique. MUNIX procedures that utilized a variety of surface interferential pattern (SIP) epoch recruitment strategies (including the original MUNIX procedure, two proposed improvement strategies and their combinations) were described. For each MUNIX procedure, ten thousands of different SIP pools were constructed by randomly recruiting necessary SIP epochs from a large SIP epoch pool (3 datasets, 9 independent electromyography recordings at different contraction levels per dataset and 10 SIP epochs per recording) and implemented for MUNIX calculation. The repeatability of each MUNIX procedure was assessed by summarizing the resulting MUNIX distribution and compared to investigate the effect of SIP epoch selection strategy on repeatability performance.

resultsSIP epochs selected at lower contraction levels have a stronger influence on the repeatability of MUNIX than those selected at higher contraction levels. MUNIX under repeatability conditions follows a normal distribution and the standard deviation can be significantly reduced by introducing more epochs near the MUNIX definition line.

conclusionsThe MUNIX technique shows an inherent variation attributable to SIP epochs at low contraction levels. It is recommended that more epochs should be sampled at these low contraction levels to improve the repeatability. SIGNIFICANCE: The present study thoroughly documented the inherent variation of MUNIX and the causes, and offered practical solutions to improve the repeatability of MUNIX.

Indexed as

AdultElectric StimulationElectromyographyHumansMaleMotor NeuronsMuscle ContractionMuscle, SkeletalPilot ProjectsRandom AllocationRecruitment, NeurophysiologicalBicep brachiiElectromyographyMotor Unit Number IndexRepeatabilityVariation

Identifiers

PMID28511128
PMCPMC5534347

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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.