Literature DB >> 12669992

Selectivity of spatial filters for surface EMG detection from the tibialis anterior muscle.

Dario Farina1, Lars Arendt-Nielsen, Roberto Merletti, Barbara Indino, Thomas Graven-Nielsen.   

Abstract

Many spatial filters have been proposed for surface electromyographic (EMG) signal detection. Although theoretical and modeling predictions on spatial selectivity are available, there are no extensive experimental validations of these techniques based on single motor unit (MU) activity detection. The aim of this study was to compare spatial selectivity of one- and two-dimensional (1-D and 2-D) spatial filters for EMG signal detection. Intramuscular and surface EMG signals were recorded from the tibialis anterior muscle of ten subjects. The simultaneous use of intramuscular wire and surface recordings (with the spike triggered averaging technique) allowed investigation of the activity of single MUs at the skin surface. The surface EMG signals were recorded with a grid of point electrodes (3 x 3 electrodes) and a ring electrode system at 15 locations over the muscle, with the wires detecting signals from the same intramuscular location. For most subjects, it was possible to classify, from the intramuscular recordings, the activity of the same MUs for all the contractions. The surface EMG signals were averaged with the intramuscularly detected MU action potentials as triggers. In this way, eight spatial filters--longitudinal and transversal, single and double differential (LSD, TSD, LDD, TDD), Laplacian (NDD), inverse binomial filter of the second order (IB2), inverse rectangle filter (IR), and differential ring system (C1)--could be compared on the basis of their spatial selectivity. The distance from the source (transversal with respect to the muscle fiber orientation) after which the surface detected potential did not exceed +/- 5% of the maximal peak-to-peak amplitude (detection distance) was statistically smaller for the 2-D systems and TDD than for the other filters. The MU action potential duration was significantly shorter with LDD and with the 2-D systems than with the other filters. The 2-D filters investigated (including C1) showed very similar performance and were, thus, considered equivalent from the point of view of spatial selectivity.

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Year:  2003        PMID: 12669992     DOI: 10.1109/TBME.2003.808830

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

Review 1.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

2.  Comparison of spatial filter selectivity in surface myoelectric signal detection: influence of the volume conductor model.

Authors:  D Farina; L Mesin; S Martina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

3.  Spatial variability in cortex-muscle coherence investigated with magnetoencephalography and high-density surface electromyography.

Authors:  Harri Piitulainen; Alberto Botter; Mathieu Bourguignon; Veikko Jousmäki; Riitta Hari
Journal:  J Neurophysiol       Date:  2015-09-09       Impact factor: 2.714

4.  Adaptive spatial filtering of multichannel surface electromyogram signals.

Authors:  N Ostlund; J Yu; K Roeleveld; J S Karlsson
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

5.  Adaptive spatio-temporal filtering of multichannel surface EMG signals.

Authors:  Nils Ostlund; Jun Yu; J Stefan Karlsson
Journal:  Med Biol Eng Comput       Date:  2006-03-07       Impact factor: 2.602

6.  A simulation study for a surface EMG sensor that detects distinguishable motor unit action potentials.

Authors:  Jin Lee; Alexander Adam; Carlo J De Luca
Journal:  J Neurosci Methods       Date:  2007-09-18       Impact factor: 2.390

7.  Amplitude cancellation of motor-unit action potentials in the surface electromyogram can be estimated with spike-triggered averaging.

Authors:  Dario Farina; Corrado Cescon; Francesco Negro; Roger M Enoka
Journal:  J Neurophysiol       Date:  2008-05-07       Impact factor: 2.714

8.  Specificity of surface EMG recordings for gastrocnemius during upright standing.

Authors:  Taian Martins Vieira; Alberto Botter; Silvia Muceli; Dario Farina
Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

9.  Evaluation of Swallowing Related Muscle Activity by Means of Concentric Ring Electrodes.

Authors:  J Garcia-Casado; G Prats-Boluda; Y Ye-Lin; S Restrepo-Agudelo; E Perez-Giraldo; A Orozco-Duque
Journal:  Sensors (Basel)       Date:  2020-09-15       Impact factor: 3.576

10.  Analysis of muscle fiber conduction velocity enables reliable detection of surface EMG crosstalk during detection of nociceptive withdrawal reflexes.

Authors:  Michael Brun Jensen; José Alberto Biurrun Manresa; Ken Steffen Frahm; Ole Kæseler Andersen
Journal:  BMC Neurosci       Date:  2013-03-26       Impact factor: 3.288

  10 in total

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