Literature DB >> 23934080

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

Takanori Uchiyama1, Hiroaki Sakai.   

Abstract

The purpose of this study is to verify the applicability of a sixth-order model to the mechanomyogram (MMG) system of the parallel-fibered muscle, which was identified from the MMG of the pennation muscle. The median nerve was stimulated, and an MMG and torque of the abductor pollicis brevis muscle were measured. The MMGs were detected with either a capacitor microphone or an acceleration sensor. The transfer functions between stimulation and the MMG and between stimulation and torque were identified by the singular value decomposition method. The torque and the MMG, which were detected with a capacitor microphone, DMMG, were approximated with a second- and a third-order model, respectively. The natural frequency of the torque, reflecting longitudinal mechanical characteristics, did not show a significant difference from that of the DMMG. The MMG detected with an acceleration sensor was approximated with a fourth-order model. The natural frequencies of the AMMG reflecting the muscle and subcutaneous tissue in the transverse direction were obtained. Both DMMG and AMMG have to be measured to investigate the model of the MMG system for parallel-fibered muscle. The MMG system of parallel-fibered muscle was also modeled with a sixth-order model.

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Year:  2013        PMID: 23934080     DOI: 10.1007/s11517-013-1107-9

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


  13 in total

1.  Measurement of muscle contraction with ultrasound imaging.

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3.  Experimentally verified model of mechanomyograms recorded during single motor unit contractions.

Authors:  P Kaczmarek; J Celichowski; A Kasiński
Journal:  J Electromyogr Kinesiol       Date:  2005-12       Impact factor: 2.368

4.  The image of motor units architecture in the mechanomyographic signal during the single motor unit contraction: in vivo and simulation study.

Authors:  P Kaczmarek; J Celichowski; H Drzymała-Celichowska; A Kasiński
Journal:  J Electromyogr Kinesiol       Date:  2008-05-01       Impact factor: 2.368

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Authors:  R V Baratta; M Solomonow; B H Zhou
Journal:  J Electromyogr Kinesiol       Date:  1998-04       Impact factor: 2.368

6.  Frequency response model of skeletal muscle and its association with contractile properties of skeletal muscle.

Authors:  Yasushi Itoh; Kumi Akataki; Katsumi Mita; Makoto Watakabe; Hisako Nonaka
Journal:  J Electromyogr Kinesiol       Date:  2012-12-21       Impact factor: 2.368

7.  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

8.  The dynamic response model of nine different skeletal muscles.

Authors:  R Baratta; M Solomonow
Journal:  IEEE Trans Biomed Eng       Date:  1990-03       Impact factor: 4.538

9.  Dynamic performance model of an isometric muscle-joint unit.

Authors:  B H Zhou; M Solomonow; R Baratta; R D'Ambrosia
Journal:  Med Eng Phys       Date:  1995-03       Impact factor: 2.242

10.  Mechanical behaviour of condenser microphone in mechanomyography.

Authors:  M Watakabe; K Mita; K Akataki; Y Itoh
Journal:  Med Biol Eng Comput       Date:  2001-03       Impact factor: 3.079

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  2 in total

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

2.  Scaling Relationship of In Vivo Muscle Contraction Strength of Rabbits Exposed to High-Frequency Nanosecond Pulse Bursts.

Authors:  Yan Mi; Jin Xu; Xuefeng Tang; Changhao Bian; Hongliang Liu; Qiyu Yang; Junying Tang
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
  2 in total

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