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Non-Linear Filtering Technique Used for Testing the Human Lumbar Spine FEA Model

  • Mobile & Wireless Health
  • Published:
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Abstract

In this paper, the objective is to generate a mesh model of a spine that simulates numerically the biomedical properties of two vertebrae (L4 and L5) of human spine and an inter vertebrae disc using Finite Element Analysis (FEA) technique. Here, different types of non-linear filters and different edge detection techniques are used to segment the edges and the results are compared. The result shows that median filter obtains improved segmented output results in terms of edge length density, average magnitude, final threshold, initial position, and fine-tuned image. The behaviour of spine FEA model is analysed in terms of various parameters like equivalent elastic strain, total deformation, maximum principal elastic strain, minimum principal elastic strain, shear elastic strain, normal elastic strain, and minimum and maximum principal stress, equivalent stress, shear stress and normal stress. These parameters are used to analyse the human spine model under different conditions and different angles using ANSYS simulation tool. Further, MATLAB is carried out to implement various filters and edge detectors on proposed spine model.

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Authors and Affiliations

  1. Department of Information Technology, Muthayammal Engineering College, Rasipuram, India

    E. Punarselvam

  2. Department of Mechanical Engineering, Muthayammal Engineering College, Rasipuram, India

    P. Suresh

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Correspondence to E. Punarselvam.

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Punarselvam, E., Suresh, P. Non-Linear Filtering Technique Used for Testing the Human Lumbar Spine FEA Model. J Med Syst 43, 34 (2019). https://doi.org/10.1007/s10916-018-1148-6

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