Hardjasudjana, A.W. and Kosalishkwaran, G. and Parasuraman, S. and Khan, M.K.A.A. and Elamvazuthi, I. (2017) Kinesis (In-vivo/In-vitro) of L5-S1 lumbar spine. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Low back pain is a spinal-related problem mainly caused by degenerative disc disease. Throughout the spine, the lumbar region is the most prone to the disease since it supports the upper torso by transmitting compressive and shearing forces to the lower body during everyday activities. The study focused on the bottom-most L5-S1 segment of the lumbar. The project was conducted by measuring the range of motion of the lumbar region through an in-vivo study as a preliminary research. The measurement utilises a skin-surface markers and motion capture cameras with computerised motion analysis to continuously record the changing range of motion and curvature of the spine. A design for the lumbar segment model was also created by utilising image processing and computer-aided engineering software to convert CT scan image into meshed finite element model. The preliminary result shows that the flexion, extension and axial rotation range of motion was different than the literature, which may have been caused by in-vivo factors such as fatigue, sway and other measurement variability. Due to the time constraints, the finite element model has yet to be fully analysed for its stress and load distribution. It is planned in post-graduate study that the model is to be driven with the preliminary range of motion result to be extensively analysed for its load and stress distribution. © 2017 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 0; Conference of 3rd IEEE International Symposium in Robotics and Manufacturing Automation, ROMA 2017 ; Conference Date: 19 September 2017 Through 21 September 2017; Conference Code:134001 |
Uncontrolled Keywords: | Computer aided engineering; Computer aided software engineering; Computerized tomography; Image segmentation; Manufacture; Robotics, Degenerative disc disease; Disc degeneration; Graduate studies; Load distributions; Lumbar spines; Range of motions; Segment modeling; Time constraints, Finite element method |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:19 |
Last Modified: | 09 Nov 2023 16:19 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/8035 |