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Evaluation of Apparatus and Protocols to Measure Human Passive Neck Stiffness and Range of Motion

Article dans une revue avec comité de lecture
Author
ccLIU, Mingyue
116469 University of Adelaide
ccQUARRINGTON, Ryan
116469 University of Adelaide
ccSANDOZ, Baptiste
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
ROBERTSON, William S.P.
116469 University of Adelaide
JONES, Claire F.
116469 University of Adelaide
1044004 Royal Adelaide Hospital [Adelaide Australia]

URI
http://hdl.handle.net/10985/25484
DOI
10.1007/s10439-024-03517-w
Research data linked to this publication
10.25909/c.7016496
Date
2024-04
Journal
Annals of Biomedical Engineering

Abstract

Understanding of human neck stiffness and range of motion (ROM) with minimal neck muscle activation (“passive”) is important for clinical and bioengineering applications. The aim of this study was to develop, implement, and evaluate the reliability of methods for assessing passive-lying stiffness and ROM, in six head-neck rotation directions. Six participants completed two assessment sessions. To perform passive-lying tests, the participant’s head and torso were strapped to a bending (flexion, extension, lateral bending) or a rotation (axial rotation) apparatus, and clinical bed, respectively. The head and neck were manually rotated by the researcher to the participant’s maximum ROM, to assess passive-lying stiffness. Participant-initiated (“active”) head ROM was also assessed in the apparatus, and seated. Various measures of apparatus functionality were assessed. ROM was similar for all assessment configurations in each motion direction except flexion. In each direction, passive stiffness generally increased throughout neck rotation. Within-session reliability for stiffness (ICC > 0.656) and ROM (ICC > 0.872) was acceptable, but between-session reliability was low for some motion directions, probably due to intrinsic participant factors, participant-apparatus interaction, and the relatively low participant number. Moment-angle corridors from both assessment sessions were similar, suggesting that with greater sample size, these methods may be suitable for estimating population-level corridors.

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