Literature DB >> 11897359

Assessment of single motor unit conduction velocity during sustained contractions of the tibialis anterior muscle with advanced spike triggered averaging.

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

Abstract

This paper describes an improved spike triggered averaging technique for the assessment of control properties and conduction velocity (CV) of single motor units (MUs) of the tibialis anterior muscle during voluntary muscle contractions. The method is based on the detection of multi-channel surface EMG signals (with linear electrode arrays) and intramuscularly recorded single MU action potentials (MUAPs). Intramuscular electrodes were inserted in the muscle taking into account the MU structural properties (innervation zone, tendon locations, length of the fibers), assessed by the linear array surface EMG detection technique. An algorithm for intramuscular EMG signal decomposition is used to identify single MUAP trains. The MUAPs detected by the intramuscular EMG decomposition algorithm were used to trigger and average the multi-channel EMG signals. CV of single averaged surface MUAPs was estimated by the use of advanced signal processing methods based on multi-channel recordings which allow to consistently reduce the variance of CV estimates compared with traditional two channel delay estimators. The number of averaged potentials can thus be limited, resulting in high temporal resolution CV estimates. The developed technique was tested on recordings from the tibialis anterior muscle in 11 volunteers during fatigue. It was shown that the method allows the assessment of single MU CV changes (fatigue) as small as 0.1 m/s with less than 2 s data epochs. The method allows reliable assessment of firing rate and conduction properties of single MUs with applications for the investigation of central and peripheral fatigue mechanisms.

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Mesh:

Year:  2002        PMID: 11897359     DOI: 10.1016/s0165-0270(01)00510-6

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  20 in total

1.  Single motor unit analysis from spatially filtered surface electromyogram signals. Part 2: conduction velocity estimation.

Authors:  E Schulte; D Farina; G Rau; R Merletti; C Disselhorst-Klug
Journal:  Med Biol Eng Comput       Date:  2003-05       Impact factor: 2.602

2.  Upper trapezius muscle conduction velocity during fatigue in subjects with and without work-related muscular disorders: a non-invasive high spatial resolution approach.

Authors:  E Schulte; O Miltner; E Junker; G Rau; C Disselhorst-Klug
Journal:  Eur J Appl Physiol       Date:  2004-07-08       Impact factor: 3.078

Review 3.  Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

Authors:  D Farina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

4.  Sixty-four channel wearable acquisition system for long-term surface electromyogram recording with electrode arrays.

Authors:  M Pozzo; A Bottin; R Ferrabone; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

5.  Postural activation of the human medial gastrocnemius muscle: are the muscle units spatially localised?

Authors:  Taian M M Vieira; Ian D Loram; Silvia Muceli; Roberto Merletti; Dario Farina
Journal:  J Physiol       Date:  2010-11-29       Impact factor: 5.182

6.  The influence of contraction amplitude and firing history on spike-triggered averaged trapezius motor unit potentials.

Authors:  C Westad; R H Westgaard
Journal:  J Physiol       Date:  2004-12-02       Impact factor: 5.182

7.  Single motor unit and spectral surface EMG analysis during low-force, sustained contractions of the upper trapezius muscle.

Authors:  Dario Farina; Daniel Zennaro; Marco Pozzo; Roberto Merletti; Thomas Läubli
Journal:  Eur J Appl Physiol       Date:  2004-12-21       Impact factor: 3.078

8.  Influence of motor unit properties on the size of the simulated evoked surface EMG potential.

Authors:  Kevin G Keenan; Dario Farina; Roberto Merletti; Roger M Enoka
Journal:  Exp Brain Res       Date:  2005-11-05       Impact factor: 1.972

9.  Longitudinal and transverse propagation of surface mechanomyographic waves generated by single motor unit activity.

Authors:  Corrado Cescon; Pascal Madeleine; Dario Farina
Journal:  Med Biol Eng Comput       Date:  2008-06-10       Impact factor: 2.602

10.  Adjustments differ among low-threshold motor units during intermittent, isometric contractions.

Authors:  Dario Farina; Ales Holobar; Marco Gazzoni; Damjan Zazula; Roberto Merletti; Roger M Enoka
Journal:  J Neurophysiol       Date:  2008-11-12       Impact factor: 2.714

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