Period: 1.7.2018―30.6.2021

The Partners

• Science and Research Centre Koper
• Faculty of Electrical Engineering and Computer Science

Project Description

Tensiomyography (TMG) detects skeletal muscle belly thickening during twitch isometric contraction selectively and non-invasively. Since the first TMG publication back in 1990 already 107 SCI publications arose with an exponential trend. TMG allows high signal-to-noise ratio, high sensitivity and no need for post-processing of the signals. Immediately we found high correlation between myosin heavy chain I and TMG derived contractile parameters.

The TMG method is generally accepted; however, it needs more basic investigation to understand the signal’s parameters, signal pathways and mechanisms for a high quality of interpretation. There are several issues that needs to be investigated. Therefore, the aim of this project is to design a TMG decomposition model to different motor unit phenotypes for better understanding of mechanisms of contraction and the effects of other factors, such are: muscle size and architecture, muscle composition, muscle fluid content, muscle fibre mechanics and geometry (cross sectional area, velocity of contraction, force, tension), adhesive tissues (costameres, tendons), fatigue/potentiation.