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Real-time Microwave Imaging of a Compressed Breast Phantom with Planar Scanning
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Quantification of the Sensing Radius of a Coaxial Probe for Accurate Interpretation of Heterogeneous Tissue Dielectric Data
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  • This work analyses the sensing radius of a coaxial probe for accurate dielectric characterisation of heterogeneous tissues.
  • The probe sensing radius can be smaller than the probe radius and depends on the histology of the tissue sample.
  • Accurate knowledge of the sensing radius has the potential for improving the design of novel microwave imaging devices and hyperthermia systems.
  • This work demonstrates that a lack of knowledge of the probe sensing radius leads to errors in the interpretation of dielectric data acquired from heterogeneous tissues, and thereby to inaccurate medical device design.
  • Despite the assumption made in previous dielectric studies, this work shows that the dielectric contribution of a particular tissue depends on both its location within the sensing volume and its dielectric properties.
Magnetic Transceiver Beamforming for A 2 × 2 Magnetic Resonance Charging System
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  • This paper proposes a 2×2 magnetic resonance charging system considering both magnetic transmit beamforming and receive beamforming for charging wearable medical devices.
  • Both numerical results and simulation results in COMSOL model are provided to demonstrate the effectiveness of the proposed system and optimization algorithm.
  • The target medical applications are wearable medical devices using for Alzheimer’s disease, ergonomics, rehabilitation and neurology which are inconvenient or sometimes infeasible to replace or change batteries for the elderly or patients.
  • Such a magnetic resonance charging system provides a promising way to make wearable medical devices permanently unplugged.
Transmission Line Model Of An Implemented Insulated Cable For Magnetic Resonance Imaging Radiofrequency Hazard Evaluation
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  • An insulated cable implanted in a lossy material and submitted to a radiated radiofrequency field can be modeled by a modified transmission line with a distributed excitation along the line.
  • This model gives a better physical insight into the problem of the compatibility of implanted cables in Magnetic Resonance Imaging (MRI) such as pacemaker, defibrillator or neurostimulator leads.
  • This work shows the equivalence between the transfer function model usually used to model the interaction of an implanted lead with the radiofrequency field of MRI and the modified transmission line model.
  • An idea that can be derived from this model is to reduce the heating at the electrode of an implanted lead by creating a big reflection coefficient before the end of the lead using a multi-section approach
Magnetoresistive Biosensors for On-Chip Detection and Localisation of Paramagnetic Particles
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  • This paper presents the design and the implementation of an on-chip magnetoresistive sensors array for cell detection and localisation. Giant magnetoresistance (GMR) sensors have been used due to their high sensitivity and resolution.
  • A novel calibration and localisation algorithm has been coded and implemented. In order to generate the required homogenous magnetic field, a custom 3D printed Hallbach cylinder has been simulated and characterised.
  • Sensory chips could detect an average magnetic sensitivity of 2 V/T at room temperature.
  • The ferrofluid and a customised 3D printed Halbach cylinder were employed to simulate the magnetic field change in the cell.
  • The implemented algorithm helps in achieving high sensitivity and positioning speed, also thanks to an accurate calibration of the GMR sensors.
Characterisation of the Dielectric Properties of the Bladder over the Microwave Range
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  • Accurate knowledge of the dielectric properties of tissues is the basis for electromagnetic (EM) medical device design, development, and optimisation, and therefore, lack of knowledge on the dielectric properties of the bladder is a stumbling block for the application of bladder-related technologies, including EM therapeutic and diagnostic tools.
  • This study provides a critical, anatomy-informed dielectric study of the properties of the bladder.
  • Through a large number of tissue measurements, this study examines for the first time the impact of the dielectric properties of the bladder in light of common measurement confounders (time from excision, temperature), and uniquely examines the properties of both the inside and the outside of the bladder wall.
  • This study provides reliable dielectric data of the bladder over the microwave frequency range, and fitted dielectric models, that can be used to support the design of bladder-related medical technologies.
  • This study has been performed in line with modern best practices standards for the reporting of experimental metadata along with experimental data, and the data and metadata will be made openly available online.
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June 15, 2026

Best Paper Award 2024 Winners Announced

Congratulations to the recipients of the IEEE J-ERM Best Paper Award for outstanding contributions to the field published in volume 7.
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IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics

We invite submissions for a focused issue on the intersection of artificial intelligence and electromagnetic biomedical applications. Deadline: 30 June 2025.

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IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics – Copy
News June 19, 2026

IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics – Copy

We invite submissions for a focused issue on the intersection of artificial intelligence and electromagnetic biomedical applications. Deadline: 30 June 2025.
IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics – Copy
News June 19, 2026

IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics – Copy

We invite submissions for a focused issue on the intersection of artificial intelligence and electromagnetic biomedical applications. Deadline: 30 June 2025.
IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics – Copy
News June 19, 2026

IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics – Copy

We invite submissions for a focused issue on the intersection of artificial intelligence and electromagnetic biomedical applications. Deadline: 30 June 2025.
IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics
News June 15, 2026

IEEE J-ERM Launches Special Issue on AI-Driven Bioelectromagnetics

We invite submissions for a focused issue on the intersection of artificial intelligence and electromagnetic biomedical applications. Deadline: 30 June 2025.

IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology. Publishing peer-reviewed research at the intersection of electromagnetics and biomedical science since 2017.

 

ISSN (Print)       2469-7249

 

ISSN (Online)    2469-7257

 

Publisher           IEEE

 

Frequency         Continuous (4–6 issues/year)

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