Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-22471
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: A two joint neck model to identify malposition of the head relative to the thorax
Authors: Schmid, Philipp Matthias
Bauer, Christoph
Ernst, Markus
Sommer, Bettina
Lünenburger, Lars
Weisenhorn, Martin
et. al: No
DOI: 10.3390/s21093297
10.21256/zhaw-22471
Published in: Sensors
Volume(Issue): 21
Issue: 9
Pages: 3297
Issue Date: 2021
Publisher / Ed. Institution: MDPI
ISSN: 1424-8220
Language: English
Subjects: Neck; Movement analysis; Protraction; Posture monitoring; Neck pain; Stereophotogrammetry; Biomechanical model
Subject (DDC): 610: Medicine and health
Abstract: 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.
Further description: This article belongs to the Special Issue Impact of Sensors in Biomechanics, Health Disease and Rehabilitation
URI: https://digitalcollection.zhaw.ch/handle/11475/22471
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Health Professions
School of Engineering
Organisational Unit: Institute of Physiotherapy (IPT)
Institute for Signal Processing and Wireless Communications (ISC)
Appears in collections:Publikationen Gesundheit

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