A Novel Approach to Measuring Muscle Mechanics in Vehicle Collision Conditions
| Autor: | Marija Hribernik, Simon Krašna, Ana Trajkovski, Srđan Đorđević |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Materials science
active muscle 0206 medical engineering biomehanika potniki 02 engineering and technology vehicle occupant Mechanical tension lcsh:Chemical technology Biochemistry Article biomechanics Analytical Chemistry Inverse dynamics Muscle tension 0502 economics and business In vehicle lcsh:TP1-1185 Electrical and Electronic Engineering Muscle Skeletal Instrumentation Simulation trk 050210 logistics & transportation muscle activity Electromyography 05 social sciences udc:[591.473:614.8]:656.1(045) Biomechanics Muscle mechanics Collision 020601 biomedical engineering Neck muscles vozila Atomic and Molecular Physics and Optics in vivo Muscle Tonus impact Stress Mechanical prometne nesreče mišična aktivnost Muscle Contraction Biomedical engineering |
| Zdroj: | Sensors; Volume 17; Issue 6; Pages: 1389 Sensors, Vol 17, Iss 6, p 1389 (2017) Sensors, vol. 17, no. 6, 1389, 2017. Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s17061389 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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