Evidence map›Paper›PMID 20430694›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2010

High-yield decomposition of surface EMG signals.

S Hamid Nawab, Shey-Sheen Chang, Carlo J De Luca

3 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed
8.7field-weighted citation impact, top 2% 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.

NCT01555684 nawithdrawnnot on this mapstarted 2012, after this paper: background citation

The Effect of Percutaneous Venoplasty on Muscular Function, Mobility and Fatigue of Multiple Sclerosis (MS) Patients With Chronic Cerebrospinal Venous Insufficiency (CCSVI).

TypeinterventionalSponsorUniversity of StirlingRan2012 to 2012Enrolled0ConditionsMultiple Sclerosis, Chronic Cerebrospinal Venous InsufficiencyArmspercutaneous venoplasty to alleviate chronic cerebrospinal venous insufficiency
NCT04361149 phase4completednot on this mapstarted 2019, after this paper: background citation

Evaluation of Motor Unit Abnormalities After Experimentally Induced Sensitization Using Capsaicin: A Randomized, Double-Blinded, Placebo-Controlled Study

TypeinterventionalSponsorToronto Rehabilitation InstituteRan2019 to 2020Enrolled23ConditionsCentral Sensitisation, Motor DisordersArmsCapsaicin Topical Cream (0.075%), Delsys Trigno Galileo System, Excaliber, Natus Medical, Placebo Cream
NCT06516770 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

The Effects of Different Types of Stimulation on Movement Control and Motor Unit Behavior in Individuals With Lumbopelvic Movement Control Impairment

TypeinterventionalSponsorMahidol UniversityRan2024 to 2026Enrolled136ConditionsLow Back PainArmsTranscranial direct current stimulation, Neuromuscular electrical stimulation, Motor control exercise, Isometric exercise
3 · Its place in the literature

Who cites it

137 citing papers in PubMed, 359 citations in OpenAlex.

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  5. The effects of local forearm muscle cooling on motor unit properties.European journal of applied physiology · 2018
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  9. Acute Modulation of Lumbar Motor Unit Behavior During Experimentally Induced Low Back Pain: A Motor Unit Decomposition Analysis.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
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77 more citing papers are in PubMed but not listed here.

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.

S Hamid NawabDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.
Shey-Sheen Chang
Carlo J De Luca
Boston University · USDelsys (United States) · US

Funding

Harnessing Motoneuron Activity: From Lab to ClinicR01HD050111 · NICHD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DE LUCA, CARLO J · 2007 to 2011
$2.8M
Non-Invasive System for Identifying Neural BehaviorR01NS058250 · NINDS · ALTEC, INC. · PI DE LUCA, CARLO J · 2006 to 2009
$1.8M
NICHD NIH HHS R01 HD050111NINDS NIH HHS NS058250NINDS NIH HHS R01 NS058250
6 · The paper itself

Abstract

objectiveAutomatic decomposition of surface electromyographic (sEMG) signals into their constituent motor unit action potential trains (MUAPTs).

methodsA small five-pin sensor provides four channels of sEMG signals that are in turn processed by an enhanced artificial intelligence algorithm evolved from a previous proof-of-principle. We tested the technology on sEMG signals from five muscles contracting isometrically at force levels ranging up to 100% of their maximal level, including those that were covered with more than 1.5cm of adipose tissue. Decomposition accuracy was measured by a new method wherein a signal is first decomposed and then reconstructed and the accuracy is measured by comparison. Results were confirmed by the more established two-source method.

resultsThe number of MUAPTs decomposed varied among muscles and force levels and mostly ranged from 20 to 30, and occasionally up to 40. The accuracy of all the firings of the MUAPTs was on average 92.5%, at times reaching 97%.

conclusionsReported technology can reliably perform high-yield decomposition of sEMG signals for isometric contractions up to maximal force levels. SIGNIFICANCE: The small sensor size and the high yield and accuracy of the decomposition should render this technology useful for motor control studies and clinical investigations.

Indexed as

Action PotentialsAdultAlgorithmsElectric StimulationElectromyographyFemaleHumansMaleMotor NeuronsMuscle ContractionMusclesReproducibility of ResultsSignal Processing, Computer-AssistedTime FactorsYoung Adult

Identifiers

PMID20430694
PMCPMC2932793
OpenAlexW2148270081

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.