A novel approach to measuring muscle mechanics in vehicle collision conditions

Krašna, Simon (author), Đorđević, Srđan (author), Hribernik, Marija (author), Trajkovski, Ana (author)

The aim of the study was to evaluate a novel approach to measuring neck muscle load and activity in vehicle collision conditions. A series of sled tests were performed on 10 healthy volunteers at three severity levels to simulate low-severity frontal impacts. Electrical activity-electromyography (EMG)-and muscle mechanical tension was measured bilaterally on the upper trapezius. A novel mechanical contraction (MC) sensor was used to measure the tension on the muscle surface. The neck extensor loads were estimated based on the inverse dynamics approach. The results showed strong linear correlation (Pearson's coefficient $\overline{r}_P$ = 0.821) between the estimated neck muscle load and the muscle tension measured with the MC sensor. The peak of the estimated neck muscle force delayed 0.2 ± 30.6 ms on average vs. the peak MC sensor signal compared to the average delay of 61.8 ± 37.4 ms vs. the peak EMG signal. The observed differences in EMG and MC sensor collected signals indicate that the MC sensor offers an additional insight into the analysis of the neck muscle load and activity in impact conditions. This approach enables a more detailed assessment of the muscle-tendon complex load of a vehicle occupant in pre-impact and impact conditions.

• Language: English
• Keywords: biomechanics, vehicle occupant, impact, in vivo, muscle activity, active muscle
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering; MF - Faculty of Medicine
• Publication status: Published
• Publication version: Version of Record
• Year: 2017
• Number of pages: 17 str.
• Numbering: Vol. 17, iss. 6, art. 1389
• PID: 20.500.12556/RUL-131084
• UDC: [591.473:614.8]:656.1(045)
• ISSN on article: 1424-8220
• DOI: 10.3390/s17061389
• COBISS.SI-ID: 15539483
• Publication date in RUL: 22.09.2021

Record is a part of a journal

• Title: Sensors
• Shortened title: Sensors
• Publisher: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 14.06.2017

Secondary language

• Language: Slovenian
• Keywords: biomehanika, vozila, potniki, trk, prometne nesreče, mišična aktivnost

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P2-0109
• Name: Modeliranje v tehniki in medicini