UWB antenna with circular patch for early breast cancer detection

Fatimi, Aziz El; Bri, Seddik; Saadi, Adil

doi:10.12928/telkomnika.v17i5.12757

Cited by 17 publications

(14 citation statements)

References 15 publications

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“…Symptoms of breast cancer, for instance, visual changes in the breasts are usually discovered only at the final stage [ 1 ]. Consequently, most of the breast cancer cases are detected in the latter stage, at which, are deemed as too late for medical treatment, thus causing death [ 1 , 2 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction

et al. 2020

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Breast cancer is the most common cancer among women and it is one of the main causes of death for women worldwide. To attain an optimum medical treatment for breast cancer, an early breast cancer detection is crucial. This paper proposes a multi- stage feature selection method that extracts statistically significant features for breast cancer size detection using proposed data normalization techniques. Ultra-wideband (UWB) signals, controlled using microcontroller are transmitted via an antenna from one end of the breast phantom and are received on the other end. These ultra-wideband analogue signals are represented in both time and frequency domain. The preprocessed digital data is passed to the proposed multi- stage feature selection algorithm. This algorithm has four selection stages. It comprises of data normalization methods, feature extraction, data dimensional reduction and feature fusion. The output data is fused together to form the proposed datasets, namely, 8-HybridFeature, 9-HybridFeature and 10-HybridFeature datasets. The classification performance of these datasets is tested using the Support Vector Machine, Probabilistic Neural Network and Naïve Bayes classifiers for breast cancer size classification. The research findings indicate that the 8-HybridFeature dataset performs better in comparison to the other two datasets. For the 8-HybridFeature dataset, the Naïve Bayes classifier (91.98%) outperformed the Support Vector Machine (90.44%) and Probabilistic Neural Network (80.05%) classifiers in terms of classification accuracy. The finalized method is tested and visualized in the MATLAB based 2D and 3D environment.

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Section: Introductionmentioning

confidence: 99%

Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction

et al. 2020

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“…The results were plotted across a frequency range [1][2][3][4][5][6] GHz. Figure 7 shows that the simulated and measured findings are in reasonable agreement.…”

Section: Top Sidementioning

confidence: 99%

“…Driven by the enthusiasm of the public, reception systems have become portable and antennas have become miniaturized. The use of printed antennas has become common in radio communication systems [1]- [4].…”

Section: Introductionmentioning

confidence: 99%

A compact miniaturized star fractal antenna for modern wireless applications

Nejdi

Fatimi

Rhazi³

et al. 2022

IJEECS

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In this paper, six-band resonant fractal antenna architecture is proposed and fabricated. The ultimate shape is established after six iterations. The resonator is starshaped, and each iteration, a hexadecagon shape from the resonator is subtracted. The antenna is designed and calculated by the numerical simulation based on the finite element method (ANSYS HFSS) and finite integration technique (CST studio). The experimental measurements were performed by the vector network analyzer AVR ROHDE AND SCHWARZ ZVB20. The gain is 4.85 dB, and the bandwidth is 0.33 GHz. The antenna’s structure allows it to work effectively in the GSM, DCS, LTE, WiMAX, WLAN, and C bands. The designed patch has a compact size of (75×75×1.6) mm3 uses as a support the FR-4 substrate for wireless equipment.

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“…This increases weight, congestion, complexity and energy consumption which seriously affects the normal operation and performance of the system. In order to solve these technical problems, it is recommended to use a single antenna to perform the function of several antennas by continuously adjusting its structure [8][9][10][11][12]. The principle of reconfigurable frequency antennas is to change the current distribution by changing the effective electrical length.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable ultra wideband to narrowband antenna for cognitive radio applications using PIN diode

2020

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Frequency reconfigurable antennas are very attractive for many wireless applications. They offer many advantages such as simplicity and compactness. In this electronic paper, we propose a reconfigurable antenna operating in the S and C bands. The proposed antenna uses a BAP65-02 RF diode to switch between the ultra wideband from 2.92 to 6.19 GHz to the narrowband from 2.92 to 3.93 GHz. The ultra wideband is obtained by a partial rectangular ground plane with a symmetrical rectangular slot and the narrowband is obtained by adding a parasitic element electrically connected to the ground plane by the PIN diode when it is positively biased. This patch antenna operates in the Federal Communications Commission band (FCC) and can be used for biomedical applications such as radiometry imaging. The numerical simulation results based on the finite element method and the finite integral method show a very good agreement between them. This is an open access article under the CC BY-SA license.

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UWB antenna with circular patch for early breast cancer detection

Cited by 17 publications

References 15 publications

Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction

Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction

A compact miniaturized star fractal antenna for modern wireless applications

Reconfigurable ultra wideband to narrowband antenna for cognitive radio applications using PIN diode

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