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Erschienen in:
01.12.2022 | Original Article
Theoretical estimation of neck stiffness subjected to lateral dynamic striking
Erschienen in: Network Modeling Analysis in Health Informatics and Bioinformatics | Ausgabe 1/2022
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Abstract
The human neck is a resilient biological structure connecting the head to the body. It hosts different kinds of tissues including bones, muscles, skin, vertebra, discs, nerves and the spinal cord. These structures work together as one unit to provide stability and facilitate functionality to the head. However, accident or sport-related dynamic striking to the head is resisted entirely by the neck structure. Based on Machine Learning principles, the purpose of this paper is to attempt to derive a workable biomechanical–machine learning formula of the neck stiffness as represented by a single spring. Such a formula would help in developing applications in head and neck healthcare applications. Findings of this derivation demonstrate that stiffness of the neck as one unit depends on the maximum voluntary contraction its muscles can exert in a specific direction. Healthcare implications of the findings are discussed at the end.