Measurement of changes in muscle viscoelasticity during static stretching using stress-relaxation data
Year: 2025
Type: article
Abstract: This study investigates how muscle viscoelasticity changes during static stretching by measuring the state of the muscle during stretching using continuous time-series data. We used a device that applied a force to the muscle during stretching and measured the reaction force. The device was attached to each participant, and time-series data of the reaction force (stress-relaxation data) during stretching were obtained. The spring-pot model, which uses fractional calculus, was selected as the viscoelastic model for the muscle, to which the stress relaxation data were fitted on a straight line on a double-logarithmic plot. The stress-relaxation data formed a broken line comprising two segments on the double-logarithmic plot, showing that viscoelasticity changed abruptly at a particular time during static stretching. Considering two viscoelastic states, before and after the change, the stress-relaxation curve was fitted through segmented regression to the double-logarithmic data with high accuracy (R2 = 0.99 and NRSME = 0.0018). We compared the parameters of the spring-pot model before and after the change in muscle viscoelasticity. By examining these continuous time-series data, we also investigated the time taken for the effects of stretching to become apparent. Furthermore, we measured the changes in muscle viscoelasticity during static stretching before and after a short-term exercise load of running on a treadmill.
Authors: Yo Kobayashi, Daiki Matsuyama
Institution: The University of Osaka
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,690
Awards: G5401336973, G5769104044, Development of a design method for an external muscle-type clothing robot based on a tensegrity model of the human body's musculoskeletal structure, 皮膚型ロボットの実現に向けた体内の筋と連動する動作ユニットの開発, G7114083207, Development of methods for integrated analysis of multiple types of continuous data for behavioural-physiological understanding of health states, G818820530
OpenAlex ID: W4412048965
