Chew, Kim Mey and Yong, Ching Yee and Rubita, Sudirman and Syvester Tan, Chiang Wei (2018) Bio-Signal Processing and 2D Representation for Brain Tumor Detection Using Microwave Signal Analysis. In: 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 28-29 April 2018, Penang, Malaysia.
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P16. Bio-Signal Processing and 2D Representation for Brain Tumor Detection Using Microwave Signal Analysis.pdf Download (7MB) |
Abstract
The paper discussed on the bio-signal processing and 2D representation of a near-field radar microwave analysis system using a mono-static ultra-wideband fabric antenna for brain tumor detection. Simulation of a brain tumor was done by developing a brain phantom with tumor using a new composition of agar-agar, sugar and water based on the relative permittivity, ∊ r of the real human brain. In the simulation environment, the antenna travelled along planar y-axis and the reflected signals, S 11 from the phantom were collected for processing. Five regular window functions and a proposed superposition technique function were applied to determine the reflection point. Following that, the linear interpolation and contrast enhancement technique were applied for a 2-dimensional (2D) representation enhancement.
| Item Type: | Proceeding (Paper) |
|---|---|
| Additional Information: | Information, Communication and Creative Technology |
| Uncontrolled Keywords: | Brain, Tumor, microwave imaging, relative permittivity, reflected signal (S11), time domain, signal processing, 2D representation; |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Kim Mey |
| Date Deposited: | 30 Aug 2024 02:38 |
| Last Modified: | 30 Aug 2024 02:38 |
| URI: | http://ir.unimas.my/id/eprint/45891 |
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