U-Slotted Elliptical Shape Patch Antenna for Uwb on-Body Communications

Sri, P. Amala Vijaya; Naik, Ketavath Kumar

doi:10.2528/pierl22013001

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…In Refs. [28][29][30][31][32][33][34][35][36][37], we can find several useful antennas having the same behaviour when they are deposited directly on the skin. For example, Ref.…”

Section: F I G U R E 1mentioning

confidence: 99%

Design of Low‐profile ultrawideband Antennas for Body‐Centric Communications using the FDTD method

Mokraoui

Khodja

2023

IET Microwaves Antenna & Prop

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Low‐profile coplanar waveguide antennas are successfully designed considering body‐centric communications requirements. A finite difference in time‐domain‐based programme, which considers dispersion in human tissues and antenna dielectric substrates, is developed for this purpose. Parametric simulations and visualisation helped to acquire a greater understanding of radiation mechanisms. Consequently, two approaches are investigated. In the first approach, the antenna bandwidth is optimised regardless of its size and travelling wave antennas with characteristics suitable for on‐body communications are obtained. In the second approach, restricting the bandwidth to ultrawideband (UWB) frequencies, while minimising the antenna size, leads to low‐profile antennas useful for on‐body as well as for off‐body applications. For each approach, several prototypes are built to validate the proposed designs and check the repeatability of the results. Measured and simulated return loss and radiation patterns are coherent. Based on the consulted bibliography, the smallest low‐cost and low‐profile omnidirectional wearable antenna is made, which covers the entire UWB frequencies with no special coaxial connectors or expensive dielectric substrates.

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“…In Refs. [28][29][30][31][32][33][34][35][36][37], we can find several useful antennas having the same behaviour when they are deposited directly on the skin. For example, Ref.…”

Section: F I G U R E 1mentioning

confidence: 99%

Design of Low‐profile ultrawideband Antennas for Body‐Centric Communications using the FDTD method

Mokraoui

Khodja

2023

IET Microwaves Antenna & Prop

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“…A study on frequency-domain breast cancer detection found that benign, and malignant breast tissues differ in dielectric properties than healthy tissues [18][19][20][21][22][23]. The study also investigated the effect of electromagnetic wave interaction on breast cancer detection using a UWB antenna system [24][25][26][27]. The study examines various breast cancer classifiers, such as decision trees, Multi-Layer Perception (MLP), Naive Bayes (NB), Sequential Minimal Optimisation (SMO), and Instance Based for K-Nearest Neighbour (IBK) were applied on Wisconsin Breast Cancer (WBC), Wisconsin Diagnosis Breast Cancer (WDBC), and Wisconsin Prognosis Breast Cancer (WPBC) datasets.…”

Section: Introductionmentioning

confidence: 99%

UWB Resonator-based Supervised Learning for Breast Tumor Diagnosis

Patil,

Naik

2024

PIER C

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This paper proposes an application of ultra-wideband antenna in conjunction with supervised machine learning to detect the existence of breast tumor. The microstrip line fed octagonal shaped UWB antenna is designed by using Ansys high-frequency structure simulator 2022 R2. It is fabricated on double sided copper FR4 epoxy glass substrate of size 40 mm×40 mm and tested by using vector network analyzer N9916A. The antenna structure is optimized over the frequency spectrum of 3.1 GHz to 10.6 GHz to obtain minimum value of return loss. The optimized structure provides bandwidth spectrum of 8.38 GHz covering the frequency range of 2.76 to 11.15 GHz with maximum gain of 5.3 dB at 8 GHz. The homogenous artificial breast phantoms with and without tumor are fabricated using different chemical compositions. The dielectric traits of skin, fatty, glandular and tumor layers are analyzed. Microwave sensing for detecting the presence of breast cancer uses the disparity between tumor and breast tissues, requiring consideration of dispersiveness to accurately assess the dielectric characteristics of the breast model due to its lossy dispersive nature. The three sets of reflection characteristics of the entire system comprised of antenna with phantoms are recorded by using VNA with a gap of week to constitute the dataset. The ultrasonic gel serves as a medium for matching between the breast model and antenna. Further, the supervised machine learning approach is used to improve the detection accuracy. Supervised learning, a key category of machine learning, uses labeled data to predict unseen data. The Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Random Forest and Multilayer Perceptron algorithms are applied on the measured data to classify the healthy and tumorous tissues. The random forest proven to be best fit on the data with auc score of 98.05%.

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U-Slotted Elliptical Shape Patch Antenna for Uwb on-Body Communications

Cited by 2 publications

References 19 publications

Design of Low‐profile ultrawideband Antennas for Body‐Centric Communications using the FDTD method

Design of Low‐profile ultrawideband Antennas for Body‐Centric Communications using the FDTD method

UWB Resonator-based Supervised Learning for Breast Tumor Diagnosis

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