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

Takanori Uchiyama, Hiroaki Sakai

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1349-1355
Number of pages7
JournalMedical and Biological Engineering and Computing
Issue number12
Publication statusPublished - 2013 Dec


  • Abductor pollicis brevis muscle
  • Acceleration
  • Displacement
  • Mechanomyogram
  • System identification

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications


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