IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

Jingtao Liu

Fei Tong

Changzhan Gu

IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology

Non-Contact Vital Sign Detection With High Noise and Clutter Immunity Based on Coherent Low-IF CW Radar

基于相干低中频连续波雷达的高噪声和杂波免疫非接触生命体征检测

This paper presents a hierarchical sensor fusion approach for human micro-gesture recognition by combining an Ultra Wide Band (UWB) Doppler radar and wearable pressure sensors. First, the wrist-worn pressure sensor array (PSA) and Doppler radar are used to respectively identify static and dynamic gestures through a Quadratic-kernel SVM (Support Vector Machine) classifier. Then, a robust wrapper method is applied on the features from both sensors to search the optimal combination. Subsequently, two hierarchical approaches where one sensor acts as "enhancer" of the other are explored. In the first case, scores from Doppler radar related to the confidence level of its classifier and the prediction label corresponding to the posterior probabilities are utilized to maximize the static hand gestures classification performance by hierarchical combination with PSA data. In the second case, the PSA acts as an "enhancer" for radar to improve the dynamic gesture recognition. In this regard, different weights of the "enhancer" sensor in the fusion process have been evaluated and compared in terms of classification accuracy. A realistic cross-validation method is chosen to test one unknown participant with the model trained by data from others, demonstrating that this hierarchical fusion approach for static and dynamic gestures yields approximately 15% improvement in classification accuracy in the best cases.

Haobo Li

Xiangpeng Liang

Aman Shrestha

Yuchi Liu

Hadi Heidari

Julien Le Kernec

Francesco Fioranelli

Hierarchical Sensor Fusion for Micro-Gesture Recognition With Pressure Sensor Array and Radar

压力传感器阵列与雷达用于微手势识别的分层传感器融合

We report on a 16-channel bilateral breast coil array for high-resolution MR imaging at 3T which can be used for both prone and supine breast MRI. This coil aims to improve signal-to-noise ratio (SNR) by positioning the coil array close to the breast. Sixteen 80-mm coil elements made on flexible printed circuit boards were placed on top of a 3D-printed plastic housing modeled to fit many cup sizes. Match, tune, and detune elements were incorporated onto the coil. Phantom and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in vivo</i> scans were performed to demonstrate the SNR profile and clinical efficacy of the coil. The <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in vivo</i> images for both prone and supine positions show high sensitivity and coverage of the breast. The SNR profile evaluated from the phantom images was relatively uniform throughout the imaging volume. The increased sensitivity of the coils allows for improved accuracy of breast cancer diagnosis.

Folk W. Narongrit

Thejas Vishnu Ramesh

Joseph V. Rispoli

An Open Source 16-Channel Breast Array for Prone and Supine MRI

开源16通道乳腺阵列用于俯卧位和仰卧位MRI

Thyroid nodules represent a widespread health concern and surgery is often adopted even if the incidence of frequent post-operative complications is not negligible. In recent years, this framework has fostered the growing spread of thermal ablation treatments, in particular microwave ablation (MWA). To date, despite its relevance, state-of-the-art regarding temperature monitoring in thyroid tissue during MWA is lacking. In this paper, the effects of MWA in thyroid by monitoring temperatures have been explored. By using several fiber Bragg gratings (FBGs) temperature sensors, the heat maps in the proximity of the MW antenna have been reconstructed for two different power values set at generator. An increase up to about 4.5 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> in ablation volume and up to 24 °C in maximum temperature variation as power rises from 20 W to 30 W has been observed. In addition, the dependency of the temperature evolution on the involved power has been investigated, observing that, with increasing power, some FBGs recorded a ΔT slope increase until the maximum values, resulting in shorter ablation times, and others recorded a plateau phase until the end of the MWA treatment. Such a propensity could be relevant to adjust the clinical settings according to the desired treatment outcome.

Elena De Vita

Francesca De Tommasi

Carlo Altomare

Daniela Lo Presti

Giuseppina Pacella

Agostino Iadicicco

Massimiliano Carassiti

Rosario Francesco Grasso

Carlo Massaroni

Stefania Campopiano

Emiliano Schena

Thyroid Microwave Ablation Study Based on Fiber Bragg Gratings Thermal Mapping

基于光纤布拉格光栅热成像的甲状腺微波消融研究

Yuchen Ma

Changrong Liu

Yong Huang

Hua Ke

Xueguan Liu

Combined Magnetoelectric/Coil Receiving Antenna for Biomedical Wireless Power Transfer

用于生物医学无线能量传输的磁电/线圈接收天线组合

Sahar Borzooei

Pierre-Henri Tournier

Victorita Dolean

Christian Pichot

Nadine Joachimowicz

Helene Roussel

Claire Migliaccio

Numerical Modeling for Shoulder Injury Detection Using Microwave Imaging

微波成像用于肩部损伤检测的数值建模

Valeria Mariano

Jorge A. Tobon Vasquez

David O. Rodriguez-Duarte

Francesca Vipiana

Field-Based Discretization of the 3-D Contrast Source Inversion Method Applied to Brain Stroke Microwave Imaging

基于场的三维对比源反演方法的离散化应用于脑卒中微波成像

The primary objective of this study is to systematically evaluate the performance of the Support Vector Machine (SVM) algorithm, identifying optimal configurations and appropriate parameters for training and testing data, for microwave brain stroke classification. Using experimentally verified 3D numerical models, a large database of synthetic training and test data has been created with different levels of data variability. These models consist of an antenna array surrounding reconfigurable geometrically and dielectrically realistic human head models Within these models, strokes of varying sizes, types, and dielectric parameters are virtually inserted at different positions in brain within the plane of the antennas. Synthetic data sets have been generated to study the impact of reducing training data, data dimensionality, data format, and algorithm settings. The results of this study confirm that Principal Component Analysis (PCA) dimensionality reduction significantly improved the classification accuracy of the SVM algorithm, and datasets of subjects with smaller strokes appeared to be the most suitable for training. Furthermore, datasets that contain the real and imaginary parts of transmission and reflection coefficients result in the highest classification accuracy. For the current antenna array, the best observed setting and scenarios with high variability in training and test data, close to real clinical scenarios, the ability to accurately classify ischemic strokes and suggest safe initiation of thrombotic therapy is approximately 70%.

Tomas Pokorny

David Vrba

Ondrej Fiser

Marco Salucci

Jan Vrba

Systematic Optimization of Training and Setting of SVM-Based Microwave Stroke Classification: Numerical Simulations for 10 Port System

基于SVM的微波卒中分类训练与设置的系统优化：10端口系统的数值模拟

A Wong

In the above-titled paper (DOI: 10.1109/JERM.2022.3201698) [1], Fig. 3 has one incorrect legend; C. albicans Non-Viable 22 Hours should be C. albicans Viable 22 Hours. Fig. 3 with correct legend is included in this correction. The description in Section III sub-section A clearly explains that microwave properties for viable cells remain unchanged after up to 24 hours. Both the data sets plotted in Fig. 3 are for viable cells measured at different points in time. The only mistake is in the legend name, and the original data and description presented in the paper are correct.

Neelima Dahal

Jeffrey A. Osterberg

Benjamin Braun

Tom P. Caldwell

Ralu Divan

Sarah W. Harcum

Pingshan Wang

Corrections to “Spectroscopic Analysis of Candida Species, Viability, and Antifungal Drug Effects with a Microwave Flow Cytometer”

对“微波流式细胞仪对念珠菌属、活性和抗真菌药物影响的荧光光谱分析”的更正

Abbreviation	IEEE J. Electromagn. RF Microw. Med. Biol.
Journal Impact	2.93
Quartiles(Global)	ENGINEERING, ELECTRICAL & ELECTRONIC(Q2)

ISSN	2469-7249, 2469-7257
h-index	27

Publication Information	Publisher: Institute of Electrical and Electronics Engineers Inc.，Publishing cycle: ，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 2017，Proportion of original research papers: 92.19%，Self Citation Rate:13.30%， Gold OA Rate: 12.28%

IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

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