International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8


FEATURE PEER-REVIEWED ARTICLE

Vol.13(13)(2022)

  • Biodynamics Characterization of Subject Specific Lumbar Spine under Ambient Condition Using Operational Modal Analysis

    Mohd Afzan Mohd Anuar, Ahmad Fikri Farabi Ghazali (School of Mechanical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA).
    Mohd Fairudz Mohd Miswan (Department of Orthopaedics and Traumatology, Faculty of Medicine, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA).
    Muhamad Azhan Anuar (School of Mechanical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA).

    Discipline: Biomechanics, Biomedical Engineering

    ➤ FullText

    doi: 10.14456/ITJEMAST.2022.256

    Keywords:Dynamics behavior; Resonant frequency; Vibration mode; Frequency domain decomposition; Motion segments

    Abstract
    The determination of the dynamic behaviour of the lumbar spine is a vital step to fully comprehending the cause of back pain. This study examined the efficacy of operational modal analysis (OMA) to predict the natural frequency of the lumbar spine with random loading from exercise conditions. This study aimed to determine the subject-specific natural frequency and vibration mode of L4-L5 (one motion segment). OMA was performed on a healthy subject (H = 1.65 m, W = 58 kg) who underwent a jumping activity. Four uniaxial accelerometers were mounted on the L4-L5 segments. The accelerometer output responses were acquired and processed in OMA to obtain the dynamic characteristics of the lumbar spine. The dynamic characteristics, such as natural frequencies and mode shapes, were obtained through the peak-picking technique in the frequency domain decomposition (FDD) algorithm. The required parameters were decomposed from a singular value decomposition (SVD) plot, and the results were verified using the auto-modal assurance criterion algorithm. The natural frequencies for axial, flexion-extension and anterior-posterior modes were 1.31, 2.63 and 5.25 Hz, respectively. The results demonstrated the potential of OMA using the FDD algorithm in the measurement of the dynamic characteristics of the human lumbar spine.

    Paper ID: 13A13D

    Cite this article:

    Mohd Anuar, M. A., Ghazali, A. F. F., Mohd Miswan, M. F., Anuar, M. A. (2022). Biodynamics Characterization of Subject Specific Lumbar Spine under Ambient Condition Using Operational Modal Analysis. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 13(13), 13A13D, 1-9. http://TUENGR.COM/V13/13A13D.pdf DOI: 10.14456/ITJEMAST.2022.256

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Other issues:
Vol.13(12)(2022)
Vol.13(11)(2022)
Vol.13(10)(2022)
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