Muscle stiffness estimation using a system identification technique applied to evoked mechanomyogram during cycling exercise

Takanori Uchiyama, Kaito Saito, Katsuya Shinjo

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The aims of this study were to develop a method to extract the evoked mechanomyogram (MMG) during cycling exercise and to clarify muscle stiffness at various cadences, workloads, and power. Ten young healthy male participants were instructed to pedal a cycle ergometer at cadences of 40 and 60. rpm. The loads were 4.9, 9.8, 14.7, and 19.6. N, respectively. One electrical stimulus per two pedal rotations was applied to the vastus lateralis muscle at a knee angle of 80° in the down phase. MMGs were measured using a capacitor microphone, and the MMGs were divided into stimulated and non-stimulated sequences. Each sequence was synchronously averaged. The synchronously averaged non-stimulated MMG was subtracted from the synchronously averaged stimulated MMG to extract an evoked MMG. The evoked MMG system was identified and the poles of the transfer function were calculated. The poles and mass of the vastus lateralis muscle were used to estimate muscle stiffness. Results showed that muscle stiffness was 186-626. N/m and proportional to the workloads and power. In conclusion, our method can be used to assess muscle stiffness proportional to the workload and power.

Original languageEnglish
Pages (from-to)847-852
Number of pages6
JournalJournal of Electromyography and Kinesiology
Volume25
Issue number6
DOIs
Publication statusPublished - 2015 Dec 1

Keywords

  • Mechanomyogram
  • Stiffness
  • System identification
  • Vastus lateralis muscle

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Biophysics
  • Clinical Neurology

Fingerprint Dive into the research topics of 'Muscle stiffness estimation using a system identification technique applied to evoked mechanomyogram during cycling exercise'. Together they form a unique fingerprint.

  • Cite this