Bio-Signal Processing and 2D Representation for Brain Tumor Detection Using Microwave Signal Analysis

• Main Authors: Chew, Kim Mey, Yong, Ching Yee, Rubita, Sudirman, Syvester Tan, Chiang Wei
• Format: Proceeding
• Language: English
• Published: 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/45891/1/P16.%20Bio-Signal%20Processing%20and%202D%20Representation%20for%20Brain%20Tumor%20Detection%20Using%20Microwave%20Signal%20Analysis.pdf; http://ir.unimas.my/id/eprint/45891/; https://ieeexplore.ieee.org/document/8405489

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.