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Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: A two joint neck model to identify malposition of the head relative to the thorax
Autor/-in: Schmid, Philipp Matthias
Bauer, Christoph
Ernst, Markus
Sommer, Bettina
Lünenburger, Lars
Weisenhorn, Martin
et. al: No
DOI: 10.3390/s21093297
10.21256/zhaw-22471
Erschienen in: Sensors
Band(Heft): 21
Heft: 9
Seiten: 3297
Erscheinungsdatum: 2021
Verlag / Hrsg. Institution: MDPI
ISSN: 1424-8220
Sprache: Englisch
Schlagwörter: Neck; Movement analysis; Protraction; Posture monitoring; Neck pain; Stereophotogrammetry; Biomechanical model
Fachgebiet (DDC): 610: Medizin und Gesundheit
Zusammenfassung: Neck pain is a frequent health complaint. Prolonged protracted malpositions of the head are associated with neck pain and headaches and could be prevented using biofeedback systems. A practical biofeedback system to detect malpositions should be realized with a simple measurement setup. To achieve this, a simple biomechanical model representing head orientation and translation relative to the thorax is introduced. To identify the parameters of this model, anthropometric data were acquired from eight healthy volunteers. In this work we determine (i) the accuracy of the proposed model when the neck length is known, (ii) the dependency of the neck length on the body height, and (iii) the impact of a wrong neck length on the models accuracy. The resulting model is able to describe the motion of the head with a maximum uncertainty of 5 mm only. To achieve this high accuracy the effective neck length must be known a priory. If however, this parameter is assumed to be a linear function of the palpable neck length, the measurement error increases. Still, the resulting accuracy can be sufficient to identify and monitor a protracted malposition of the head relative to the thorax.
Weitere Angaben: This article belongs to the Special Issue Impact of Sensors in Biomechanics, Health Disease and Rehabilitation
URI: https://digitalcollection.zhaw.ch/handle/11475/22471
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): CC BY 4.0: Namensnennung 4.0 International
Departement: Gesundheit
School of Engineering
Organisationseinheit: Institut für Physiotherapie (IPT)
Institute for Signal Processing and Wireless Communications (ISC)
Enthalten in den Sammlungen:Publikationen Gesundheit

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