Literature DB >> 16937170

Spectral moments of mechanomyographic signals recorded with accelerometer and microphone during sustained fatiguing contractions.

Pascal Madeleine1, Hong-You Ge, Anna Jaskólska, Dario Farina, Artur Jaskólski, Lars Arendt-Nielsen.   

Abstract

The aim of this study was to analyse the trends of the first three power spectral moments of the mechanomyogram (MMG) signal recorded by a microphone (MMG(MIC)) and an accelerometer (MMG(ACC)) during sustained contractions. MMG signals were recorded from the biceps brachii muscle in 14 healthy male subjects during a 3 min isometric elbow flexion at 30% of the maximal voluntary contraction. MMG absolute and normalised root mean square (RMS), mean power frequency (MNF), power spectral variance (Mc2), and skewness (mu3) were computed. For both MMG(MIC) and MMG(ACC), absolute and normalised RMS and Mc2 increased while MNF and mu3 decreased with contraction time (P<0.001). The rates of change of RMS over time were significantly correlated (P<0.001) for MMG(MIC) and MMG(ACC) but not correlated for spectral moments. The coefficient of variation of RMS was higher for MMG(MIC) than for MMG(ACC), while the opposite was observed for mu3 (P<0.05). It was concluded that higher order spectral moments of the MMG signal change during sustained contraction, indicating a complex modification of the shape of the power spectrum and not just scaling of the bandwidth. This is most likely due to the additional motor unit recruitment with fatigue and to the non-linear summation of motor unit contributions to the signal. Moreover, the characteristics of MMG signals recorded with microphones and accelerometers have important differences, which should be taken into account when comparing results from different studies.

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Year:  2006        PMID: 16937170     DOI: 10.1007/s11517-006-0036-2

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  20 in total

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2.  Effect of accelerometer location on mechanomyogram variables during voluntary, constant-force contractions in three human muscles.

Authors:  C Cescon; D Farina; M Gobbo; R Merletti; C Orizio
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

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Authors:  Anna Jaskólska; Wioletta Brzenczek; Katarzyna Kisiel-Sajewicz; Adam Kawczyński; Jarosław Marusiak; Artur Jaskólski
Journal:  J Electromyogr Kinesiol       Date:  2004-04       Impact factor: 2.368

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Authors:  M Watakabe; K Mita; K Akataki; K Ito
Journal:  Med Biol Eng Comput       Date:  2003-03       Impact factor: 3.079

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6.  Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data.

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7.  A systematic review of muscle activity assessment of the biceps brachii muscle using mechanomyography.

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8.  Fatigue effect on cross-talk in mechanomyography signals of extensor and flexor forearm muscles during maximal voluntary isometric contractions.

Authors:  Mohamad Razif Mohamad Ismail; Chee Kiang Lam; Kenneth Sundaraj; Mohd Hafiz Fazalul Rahiman
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Review 9.  Mechanomyogram for muscle function assessment: a review.

Authors:  Md Anamul Islam; Kenneth Sundaraj; R Badlishah Ahmad; Nizam Uddin Ahamed
Journal:  PLoS One       Date:  2013-03-11       Impact factor: 3.240

  9 in total

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