Literature DB >> 25118839

Wavelet-based intensity analysis of the mechanomyograph and electromyograph during the H-reflex.

W Jeffrey Armstrong1.   

Abstract

PURPOSE: The relationship between mechanomyography (MMG) and electromyography (sEMG) during electrically evoked muscle contraction was examined using the von Tscharner "intensity analysis," which describes the power of a non-stationary signal as a function of both frequency and time.
METHOD: Data for 8 college-aged participants (3 males; 5 females) with measurable H-reflexes were analyzed. Recruitment curves for H-reflex (H), M-wave (M) using sEMG, and peak-to-peak MMG (MMGp-p) were elicited through incremental tibial nerve stimulation. The maximum peak-to-peak values for H and M for each sample were summed (HM); and maximum intensity values were measured for MMG, H, and M following the intensity analysis and computation of total intensity (MMGCvT, HCvT, MCvT). HCvT and MCvT were subsequently added together (HMCvT) for comparisons.
RESULTS: Correlations of HM:MMGp-p, HM:MMGCvT, HMCvT:MMGCvT, HMCvT:MMGp-p, were low (r = 0.34, 0.33, 0.09, and 0.12, respectively, p < 0.001); and correlations of HM:HMCvT, MMGCvT:MMGp-p, were moderate-to-high (r = 0.69 and 0.97, respectively, p < 0.001). Correlations for individuals ranged from 0.61 to 0.99 across comparisons. The time at which maximal intensities occurred reflected the transition from a predominant H-reflex to the onset of the M-wave and declining lag times were noted with increasing intensity.
CONCLUSIONS: The intensity analysis provides insight into the frequency characteristics of the H-reflex and M-wave not seen in traditional analysis of the H-reflex. The intensity analysis may be a useful tool in studying individual variations and changes in the contraction velocities of skeletal muscle.

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Year:  2014        PMID: 25118839     DOI: 10.1007/s00421-014-2975-x

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  8 in total

1.  Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution.

Authors:  V von Tscharner
Journal:  J Electromyogr Kinesiol       Date:  2000-12       Impact factor: 2.368

2.  The sounds from single motor units in a contracting muscle.

Authors:  G Gordon; A H Holbourn
Journal:  J Physiol       Date:  1948-09-30       Impact factor: 5.182

3.  The hoffmann reflex: methodologic considerations and applications for use in sports medicine and athletic training research.

Authors:  Riann M Palmieri; Christopher D Ingersoll; Mark A Hoffman
Journal:  J Athl Train       Date:  2004-07       Impact factor: 2.860

4.  Characterization of the mechanical and neural components of spastic hypertonia with modified H reflex.

Authors:  Cheng-Ya Huang; Chun-Hou Wang; Ing-Shiou Hwang
Journal:  J Electromyogr Kinesiol       Date:  2005-10-25       Impact factor: 2.368

5.  Fluid mechanics of muscle vibrations.

Authors:  D T Barry; N M Cole
Journal:  Biophys J       Date:  1988-06       Impact factor: 4.033

Review 6.  Muscle sound: bases for the introduction of a mechanomyographic signal in muscle studies.

Authors:  C Orizio
Journal:  Crit Rev Biomed Eng       Date:  1993

Review 7.  Considerations for use of the Hoffmann reflex in exercise studies.

Authors:  E Paul Zehr
Journal:  Eur J Appl Physiol       Date:  2002-03-07       Impact factor: 3.078

Review 8.  Mechanomyographic amplitude and frequency responses during dynamic muscle actions: a comprehensive review.

Authors:  Travis W Beck; Terry J Housh; Joel T Cramer; Joseph P Weir; Glen O Johnson; Jared W Coburn; Moh H Malek; Michelle Mielke
Journal:  Biomed Eng Online       Date:  2005-12-19       Impact factor: 2.819

  8 in total
  1 in total

1.  The Assessment of Muscular Effort, Fatigue, and Physiological Adaptation Using EMG and Wavelet Analysis.

Authors:  Ryan B Graham; Mark P Wachowiak; Brendon J Gurd
Journal:  PLoS One       Date:  2015-08-11       Impact factor: 3.240

  1 in total

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