Cited by 318Muscle activation and electromyography studiesPeripheral Nerve DisordersMuscle Physiology and Disorders

Estimating motor unit discharge patterns from high-density surface electromyogram.

Open access
Holobar, Aleš, Farina, Dario, Gazzoni, Marco, Merletti, Roberto, Zazula, Damjan·2009·Clinical Neurophysiology

Abstract

Objective We systematically tested the capability of the Convolution Kernel Compensation (CKC) method to identify motor unit (MU) discharge patterns from the simulated and experimental surface electromyogram (sEMG) during low-force contractions.Methods sEMG was detected with a grid of 13 x 5 electrodes. In simulated signals with 20 dB signal-to-noise ratio, 11+/-3 out of 63 concurrently active MUs were identified with sensitivity >95% in the estimation of their discharge times. In experimental signals recorded at 0-10% of the maximal force, the discharge patterns of (range) 11-19 MUs (abductor pollicis; n=8 subjects), 9-17 MUs (biceps brachii; n=2), 7-11 MUs (upper trapezius; n=2), and 6-10 MUs (vastus lateralis; n=2) were identified. In the abductor digiti minimi muscle of one subject, the decomposition results from concurrently recorded sEMG and intramuscular EMG (iEMG) were compared; the two approaches agreed on 98+/-1% of MU discharges.Conclusion It is possible to identify the discharge patterns of several MUs during low-force contractions from high-density sEMG.Significance sEMG can be used for the analysis of individual MUs when the application of needles is not desirable or in combination with iEMG to increase the number of sampled MUs.

Integrity signals

Registry

Crossref · 10.1016/j.clinph.2008.10.160

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Holobar, A., Farina, D., Gazzoni, M., Merletti, R., & Zazula, D.
Affiliations
  • University of Maribor (SI)
  • Aalborg University (DK)
  • Politecnico di Torino (IT)
Venue
Clinical Neurophysiology
Publisher
Elsevier BV
Published
2009-03
Volume
120
Issue
3
Pages
551-562
ISSN
1388-2457 (ISSN-L)
OpenAlex
W1964919144
Cited by
318
References
45
Citations by year
2026: 12 · 2025: 30 · 2024: 34 · 2023: 30 · 2022: 27 · 2021: 28 · 2020: 22 · 2019: 23 · 2018: 14 · 2017: 11 · 2016: 13 · 2015: 15 · 2014: 15 · 2013: 11 · 2012: 10
FWCI
6.41
Type
journal article
Language
en
Open access
Locations
  • Clinical Neurophysiology (publishedVersion)
  • PubMed (publishedVersion)
  • PORTO@Iris (submittedVersion, other-oa)
  • PORTO Publications Open Repository TOrino (Politecnico di Torino) (submittedVersion)
  • VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
Funders
  • Compagnia di San Paolo
  • Teknologi og Produktion, Det Frie Forskningsråd
  • European Space Agency
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Peripheral Nerve Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
Keywords
motor unit firing patterns, high-density surface electromyography, motor unit decomposition, intramuscular electromyography, biceps brachii, upper trapezius, vastus lateralis, abductor digiti minimi, signal-to-noise ratio
MeSH terms
Action Potentials, Adult, Arm, Computer Simulation, Electrodes, Electromyography, Hand, Humans, Male, Motor Neurons, Muscle Contraction, Neuromuscular Junction, Shoulder, Signal Processing, Computer-Assisted, Thigh, Muscle, Skeletal, Muscle Fibers, Skeletal, Quadriceps Muscle

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review