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http://dx.doi.org/10.18419/opus-14088
Autor(en): | Millard, Matthew Hunger, Susanne Broß, Lisa Fehr, Jörg Holzapfel, Christian Stutzig, Norman Siebert, Tobias |
Titel: | Cervical muscle reflexes during lateral accelerations |
Erscheinungsdatum: | 2023 |
Dokumentart: | Konferenzbeitrag |
Konferenz: | Congress of the European Society of Biomechanics (28th, 2023, Maastricht) |
Erschienen in: | Book of abstracts / ESB 2023, 28th Congress of the European Society of Biomechanics, 9-12 July 2023, Maastricht, The Netherlands. European Society of Biomechanics, 2023, URL: https://esbiomech.org/conference/archive/2023maastricht/806.pdf |
URI: | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-141074 http://elib.uni-stuttgart.de/handle/11682/14107 http://dx.doi.org/10.18419/opus-14088 |
Bemerkungen: | Financial support by the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy - EXC 2075 390740016 (SimTech) - is gratefully acknowledged. |
Zusammenfassung: | Autonomous vehicles will allow a variety of seating orientations that may change the risk of neck injury during an accident. Having a rotated head at the time of a rear-end collision in a conventional vehicle is associated with a higher risk of acute and chronic whiplash. The change in posture affects both the movement of the head and the response of the muscles. We are studying the reflexes of the muscles of the neck so that we can validate the responses of digital human body models that are used in crash simulations. The neck movements and muscle activity of 21 participants (11 female) were recorded at the Stuttgart FKFS mechanical driving simulator. During the maneuver we recorded the acceleration of the seat and electromyographic (EMG) signals from the sternocleidomastoid (STR) muscles using a Biopac MP 160 system (USA). As intuition would suggest, the reflexes of the muscles of the neck are sensitive to posture and the direction of the acceleration. |
Enthalten in den Sammlungen: | 05 Fakultät Informatik, Elektrotechnik und Informationstechnik |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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Millard_ECM2023_abstract2.pdf | 382,07 kB | Adobe PDF | Öffnen/Anzeigen |
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