Literature DB >> 16876257

Two-dimensional spatial distribution of surface mechanomyographical response to single motor unit activity.

Corrado Cescon1, Pascal Madeleine, Thomas Graven-Nielsen, Roberto Merletti, Dario Farina.   

Abstract

In order to better understand the mechanisms of generation of mechanomyography (MMG) signals, the two-dimensional distribution of surface MMG produced by the activity of single motor units was analyzed by a novel two-dimensional recording method. Motor unit action potentials were identified from intramuscular electromyographic (EMG) signals and used to trigger the averaging of MMG signals detected over the tibialis anterior muscle of 11 volunteers with a grid of 5x3 accelerometers (20-mm inter-accelerometer distance). The intramuscular wires were inserted between the first and second accelerometer in the middle column of the grid, proximal to the innervation zone. The subjects performed three contractions with visual feedback of the intramuscular EMG signals. In each contraction, a new motor unit was recruited at the minimum stable discharge rate (mean+/-S.D., N = 11 subjects, 7.3+/-2.3 pulse/s), resulting in torque of 2.4+/-2.8% of the maximal voluntary contraction (MVC), 4.6+/-2.7% MVC, and 6.3+/-3.1% MVC (all different, P < 0.01). For 23 out of 33 detected motor units, it was possible to extract the motor unit surface acceleration map (MUAM). A negative MUAM peak (-2.7+/-2.2 mm/s2) was detected laterally and a positive MUAM peak (4.1+/-2.4 mm/s2) medially (P < 0.001). The time-to-peak was shorter in the medial part of the muscle (2.9+/-0.4 ms) than in the other locations (3.4+/-0.5 ms, P < 0.001). The double integrated signals (muscle displacement) indicated negative deflection in the lateral part and inflation close to the tibia bone. The maps of acceleration showed spatial dependency in single motor unit MMG activities. The technique provides a new insight into motor unit contractile properties.

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Year:  2006        PMID: 16876257     DOI: 10.1016/j.jneumeth.2006.06.011

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


  5 in total

1.  Estimation of elbow flexion force during isometric muscle contraction from mechanomyography and electromyography.

Authors:  Wonkeun Youn; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2010-06-04       Impact factor: 2.602

2.  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

3.  System identification of the mechanomyogram from single motor units during voluntary isometric contraction.

Authors:  Takanori Uchiyama; Erika Hashimoto
Journal:  Med Biol Eng Comput       Date:  2011-03-11       Impact factor: 2.602

4.  The effect of accelerometer location on the classification of single-site forearm mechanomyograms.

Authors:  Natasha Alves; Ervin Sejdić; Bhupinder Sahota; Tom Chau
Journal:  Biomed Eng Online       Date:  2010-06-10       Impact factor: 2.819

5.  Mechanomyographic parameter extraction methods: an appraisal for clinical applications.

Authors:  Morufu Olusola Ibitoye; Nur Azah Hamzaid; Jorge M Zuniga; Nazirah Hasnan; Ahmad Khairi Abdul Wahab
Journal:  Sensors (Basel)       Date:  2014-12-03       Impact factor: 3.576

  5 in total

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