Literature DB >> 18585787

Muscle-joint unit transfer function derived from torque and surface mechanomyogram in humans using different stimulation protocols.

Claudio Orizio1, Moshe Solomonow, Bertrand Diemont, Massimiliano Gobbo.   

Abstract

UNLABELLED: Torque and laser detected surface mechanomyogram (MMG) analysis after electrical stimulation of human tibialis anterior (TA) of 14 male subjects was aimed to: (a) obtain the dynamic responses of TA muscle-joint unit from a long (LP, about 1h) and short (SP, 12.5s) stimulation protocol; (b) compare the resulting transfer function parameters from the two signals. The sinusoidal amplitude modulation of a 30 Hz stimulation train (SST) changed the number of the recruited motor units, and hence the isometric torque and the TA surface position in the same fashion. Subject instrumentation and SST amplitude range definition took about 25 min. SP: seven consecutive modulation frequencies (0.4, 6.0, 1.0, 4.5, 1.8, 3.0, and 2.5 Hz). LP: fourteen 5s long isolated frequencies (0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.5, 3.0, 4.0, 5.0, and 6.0 Hz), 5 min rest in between. Poles position (Hz) and added delay (ms) for phase correction with respect to the input sine (parameters of a critically damped II order system) were: torque 2.44+/-0.27 Hz (SP) or 2.32+/-0.33 Hz (LP) and 18.3+/-2.2 ms (SP) or 17.2+/-4.5 ms (LP); MMG 2.28+/-0.30 Hz (SP) or 2.30+/-0.44 Hz (LP) and 17.4+/-5.6 ms (SP) or 17.4+/-6.4 ms (LP). Differences were never statistically significant.
CONCLUSION: it is possible to characterise the in vivo mechanics of muscle-joint unit with a short (few seconds) stimulation protocol affordable in clinical environment using both torque and MMG signals.

Entities:  

Mesh:

Year:  2008        PMID: 18585787     DOI: 10.1016/j.jneumeth.2008.05.012

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


  6 in total

1.  System identification of evoked mechanomyogram from abductor pollicis brevis muscle in isometric contraction.

Authors:  Takanori Uchiyama; Hiroaki Sakai
Journal:  Med Biol Eng Comput       Date:  2013-08-11       Impact factor: 2.602

2.  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

3.  Comparison of displacement and acceleration transducers for the characterization of mechanics of muscle and subcutaneous tissues by system identification of a mechanomyogram.

Authors:  Takanori Uchiyama; Keita Shinohara
Journal:  Med Biol Eng Comput       Date:  2012-11-03       Impact factor: 2.602

4.  Dynamic optimization of stimulation frequency to reduce isometric muscle fatigue using a modified Hill-Huxley model.

Authors:  Brian D Doll; Nicholas A Kirsch; Xuefeng Bao; Brad E Dicianno; Nitin Sharma
Journal:  Muscle Nerve       Date:  2017-09-18       Impact factor: 3.217

Review 5.  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

6.  Evidence towards improved estimation of respiratory muscle effort from diaphragm mechanomyographic signals with cardiac vibration interference using sample entropy with fixed tolerance values.

Authors:  Leonardo Sarlabous; Abel Torres; José A Fiz; Raimon Jané
Journal:  PLoS One       Date:  2014-02-19       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.