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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics
Jbari, Atman
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Computer Science & IT Electrical & Electronics Engineering

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A novel miniaturized radiometer front-end for early breast cancer detection using ultra-wideband flexible antenna Elouerghi, Achraf; Khomsi, Zakaryae; Bellarbi, Larbi; Jbari, Atman
Bulletin of Electrical Engineering and Informatics Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i1.5702

Abstract

This article introduces a new design of the front-end part of a passive and miniature radiometer, which has been developed to detect breast cancer at an early stage, by measuring temperature in deep mammary tissues. The design and simulation of each element of the microwave radiometer are carried out using computer simulation technology microwave (CST MWS) software. The proposed measurement system consists of a miniaturized ultra-wideband (UWB) flexible antenna operating in the S-band (2-4 GHz), a breast phantom, a low noise amplifier (LNA), a bandpass filter, and a radio frequency (RF) power detector. These components were combined with active circuits to build the front-end system using the co-simulation modules provided by the CST MWS. The method is based on the concept that the virtually created tumor increases the temperature inside the breast phantom, and to detect the abnormality, we applied the proposed radiometer front-end on breast phantom to measure the gain variation. The results demonstrated that the design of the proposed miniaturized radiometer has promising performance in terms of stability and gain variation, indeed, the difference in maximum gain |ΔGmax| measured between abnormal and healthy phantom is about 0.92 dB at 2.75 GHz. This indicates its potential for detecting breast tumors.
Electrocardiogram features detection using stationary wavelet transform Aqil, Mounaim; Jbari, Atman
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp374-385

Abstract

The main objective of this paper is to provide a novel stationary wavelet transform (SWT) based method for electrocardiogram (ECG) feature detection. The proposed technique uses the detail coefficients of the ECG signal decomposition by SWT and the selection of the appropriate coefficient to detect a specific wave of the signal. Indeed, the temporal and frequency analysis of these coefficients allowed us to choose detail coefficient of level 2 (Cd2) to detect the R peaks. In contrast, the coefficient of level 3 (Cd3) is determined to extract the Q, S, P, and T waves from the ECG. The proposed method was tested on recordings from the apnea and Massachusetts Institute of Technology–Beth Israel hospital (MIT-BIH) databases. The performances obtained are excellent. Indeed, the technique presents a sensitivity of 99.83%, a predictivity of 99.72%, and an error rate of 0.44%. A further important advantage of the method is its ability to detect different waves even in the presence of baseline wander (BLW) of the ECG signal. This property makes it possible to bypass the filtering operation of BLW.
Co-Authors Aqil, Mounaim Bellarbi, Larbi Elouerghi, Achraf Khomsi, Zakaryae