Method for estimating tensiomyography parameters from motion capture data

Authors

  • Dino Vlahek The Faculty of Electrical Engineering and Computer Science at the University of Maribor (UM FERI)
  • Tadej Stošić The Faculty of Electrical Engineering and Computer Science at the University of Maribor (UM FERI)
  • Tamara Golob The Faculty of Electrical Engineering and Computer Science at the University of Maribor (UM FERI)
  • Miloš Kalc Institute of Sports Medicine, Faculty of Medicine at the University of Maribor
  • Teja Ličen Institute of Sports Medicine, Faculty of Medicine at the University of Maribor
  • Matjaž Vogrin Institute of Sports Medicine, Faculty of Medicine at the University of Maribor
  • Domen Mongus The Faculty of Electrical Engineering and Computer Science at the University of Maribor (UM FERI)

DOI:

https://doi.org/10.31449/inf.v45i2.3192

Abstract

Tensiomyography is a muscle performance assessment technique that measures its mechanical responses. In this study, we explore a possibility to replace traditional tensiomyography measurement system with motion capture. The proposed method allows for measurement of multiple muscle's points simultaneously, while achieving measurements during a patient's movements. The results show that approximately 5 mm error is achieved when estimating maximal muscle displacement, while time delay in muscle contraction and contraction time are assessed with upto 20 ms error. As confirmed by physicians, the introduced errors are with the acceptable margin and, thus, the obtained results are medically valid.

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Published

2021-06-15

How to Cite

Vlahek, D., Stošić, T., Golob, T., Kalc, M., Ličen, T., Vogrin, M., & Mongus, D. (2021). Method for estimating tensiomyography parameters from motion capture data. Informatica, 45(2). https://doi.org/10.31449/inf.v45i2.3192

Issue

Vol. 45 No. 2 (2021)

Section

MATCOS-19

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