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Erschienen in: Medical & Biological Engineering & Computing 12/2020

16.10.2020 | Original Article

Finite element investigation on the dynamic mechanical properties of low-frequency vibrations on human L2–L3 spinal motion segments with different degrees of degeneration

verfasst von: Ruoxun Fan, Jie Liu, Jun Liu

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 12/2020

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Abstract

Exposure to low-frequency vibration is harmful to human lumbar health. However, the dynamic mechanical properties of lumbar spines with varying degrees of degeneration during time-dependent vibration remain incompletely understood. In this study, four poroelastic finite element models of human L2–L3 spinal motion segments, including the non-degeneration and the mild, moderate, and serious degeneration, were established. One-hour low-frequency vibrations with different frequencies were applied. Then, the dynamic mechanical properties of different degenerated lumbar models under the same vibration and the same lumbar model under vibrations at different frequencies were investigated. The results indicated and implied that the negative influences of 1-h vibration on the dynamic mechanical properties of the non-degenerated and mildly degenerated models were similar, but became obvious for the moderately and seriously degenerated models with time. Therefore, the damage caused by low-frequency vibration on the degenerated spinal motion segments was more serious compared with that on the healthy one. Meanwhile, the dynamic mechanical properties of the same lumbar model under vibrations at different frequencies expressed the negligible differences when the vibration frequency was not close to the lumbar natural frequency. Thus, the effects of the 1-h vibrations at different frequencies on one spinal motion segment were similar.

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Metadaten
Titel
Finite element investigation on the dynamic mechanical properties of low-frequency vibrations on human L2–L3 spinal motion segments with different degrees of degeneration
verfasst von
Ruoxun Fan
Jie Liu
Jun Liu
Publikationsdatum
16.10.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 12/2020
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-020-02263-0

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