Evidence map›Paper›PMID 20526612›Full record

ArticleEuropean journal of applied physiology2010

Teager-Kaiser energy operator signal conditioning improves EMG onset detection.

Stanislaw Solnik, Patrick Rider, Ken Steinweg, Paul DeVita, Tibor Hortobágyi

Open access · hybridAbstract read
In one paragraph

Article in European journal of applied physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

106 citing papers in PubMed, 329 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article

46 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

5 authors at 1 institution in 1 country.

Stanislaw SolnikBiomechanics Laboratory, Department of Exercise and Sport Science, East Carolina University, 332 Ward Sports Medicine Building, Greenville, NC 27858, USA. stanislaw.solnik@awf.wroc.pl
Patrick Rider
Ken Steinweg
Paul DeVita
Tibor Hortobágyi
East Carolina University · US

Funding

Mechanical Plasticity in Locomotion with AgeR01AG024161 · NIA · EAST CAROLINA UNIVERSITY · PI DE VITA, PAUL · 2005 to 2008
$1.1M
NIA NIH HHS AG024161NIA NIH HHS R01 AG024161
6 · The paper itself

Abstract

Accurate identification of the onset of muscle activity is an important element in the biomechanical analysis of human movement. The purpose of this study was to determine if inclusion of the Teager-Kaiser energy operator (TKEO) in signal conditioning would increase the accuracy of popular electromyography (EMG) onset detection methods. Three methods, visual determination, threshold-based method, and approximated generalized likelihood ratio were used to estimate the onset of EMG burst with and without TKEO conditioning. Reference signals, with known onset times, were constructed from EMG signals collected during isometric contraction of the vastus lateralis (n = 17). Additionally, vastus lateralis EMG signals (n = 255) recorded during gait were used to evaluate a clinical application of the TKEO conditioning. Inclusion of TKEO in signal conditioning significantly reduced mean detection error of all three methods compared with signal conditioning without TKEO, using artificially generated reference data (13 vs. 98 ms, p < 0.001) and also compared with experimental data collected during gait (55 vs. 124 ms, p < 0.001). In conclusion, addition of TKEO as a step in conditioning surface EMG signals increases the detection accuracy of EMG burst boundaries.

Indexed as

Signal Processing, Computer-AssistedAdultAgedAlgorithmsElectromyographyFemaleGaitHumansIsometric ContractionLikelihood FunctionsMaleMiddle AgedQuadriceps Muscle

Identifiers

PMID20526612
PMCPMC2945630
OpenAlexW1999841745

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.