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Microwave Dielectric Sensing of Free-Flowing, Single, Living Cells in Aqueous Suspension
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  • An inductively-coupled resonator assembly is shown to allow the detection of significantly sub-wavelength diameter biological cells by combining the strong field confinement provided by a split ring resonator with the high quality factor resonance of a dielectric resonator.
  • Measurements of single, free-flowing cells in a natural aqueous environment at ~10 GHz have been carried out using a coupled resonator sensor, without the need for trapping, immobilizing, culturing or fixing cells in high-field areas.
  • The coupled resonator approach proposed in this work shows potential as a method of discrimination of cells based on hydration levels, which in other works has been linked to carcinogenesis, as well as cancer aggressiveness grade; therefore the sensor described herein may represent an alternative method of cancer diagnosis or disease progression monitoring via non-invasive liquid biopsies.
  • In this paper, measurements of living, free-flowing, single cells in aqueous buffer solution, at a frequency sensitive to cell water content, have been made.
  • The inductive coupling employed in this sensor allows for physical separation of the sensing elements from microwave electronics, allowing for cheap, disposable chips to be used with biological fluids.
Photovoltaic Power Harvesting Technologies in Biomedical Implantable Devices Considering the Optimal Location
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  • This is first time to model the performance of implantable PV cells in different layers of tissue. We demonstrate how the electrical characteristics are influenced by the implanting location of the device.
  • A PV cell implanted in the dermis layer can harvest the greatest amount of power.
  • We propose implanting our energy harvesting PV cells in the hypodermis layer.
  • Our proposed PV device harvests enough energy to supply power for low-cost implants such as cardiac pacemakers, retinal implants or biomedical sensors.
  • PV cells implanted in the adipose layer can harvest nearly 11.84 mW using an 850 nm light source.
Comparison of Different Assessment Quantities to Evaluate Lead Electromagnetic Model for Radio Frequency Energy-Induced Heating
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  • Four quantities, namely 1) the net dissipated power around an electrode of an active implantable medical device (AIMD), 2) the net temperature increase, 3) the current flowing from the lead into the electrode, and 4) the net specific absorption rate (SAR) increase, were numerically compared for a set of leads with straight and helical wires to evaluate the lead electromagnetic model (LEM) with respect to radio frequency energy-induced heating.
  • The most suitable sensor locations were positions from the electrode tip along the first half of the electrode axial axis. A temperature sensor was essential if the net electrode temperature increase required evaluation.
  • The targeted medical application is an evaluation of heating induced by radio frequency energy that appears in human tissue near an AIMD during magnetic resonance imaging.
  • For leads with helical wire, our results indicate that 1) to achieve a good validation of the transfer function, that is, the linear regression coefficient of determination R2 to be close to 1, the temperature sensor results must be obtained as fast as possible, but 2) the total transient time must be longer than 360 seconds for evaluation of the LEM calibration factor.
  • Utilization of result analysis made for generic leads with straight wire can be significantly misleading for predicting results for leads with helical wires.
Study and Suppression of Multipath Signals in a Non-Invasive Millimeter Wave Transmission Glucose Sensing System
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  • The paper studies the significant impact of multipath wave propagation (surface and diffraction waves) on electromagnetic (EM) sensing systems, which is often overlooked in the design and development of EM sensors.
  • System simulations and experimental results with a millimeter (mm)-wave sensor demonstrate the need to suppress these unwanted signals in order to increase EM sensing sensitivity.
  • Experimental measurements demonstrate that sensor’s sensitivity to glucose concentrations is almost doubled by suppressing multipath waves with appropriate use of absorbers.
  • Our study focuses on sensing glucose changes with mm-waves, but this analysis can be useful for any application in EM biomedical sensing which requires the detection of weak signals propagating through lossy tissues.
A Radiating System for Low Frequency Highly Focused Hyperthermia with Magnetic Nanoparticles
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  • We present a novel radiofrequency radiating system for focused hyperthermic applications with magnetic nanoparticles.
  • Safe, efficient and targeted treatments of hyperthermia with magnetic nanoparticles can be achieved through the proposed RF radiating system.
  • In particular, the focus of the system is an innovative and effective therapy of superficial tumors, as, for instance, melanoma and breast cancer.
  • Although the challenging low frequency range (hundreds of kHz), the system accomplishes a precise and delimited radiofrequency magnetic field distribution, avoiding indiscriminate tissue exposure.
  • The synergy between a careful design of the radiating system and research on innovative magnetic nanoparticles can pave the way towards more efficient and safer magnetic hyperthermia treatments in clinical applications.
Design and Evaluation of Affective Virtual Reality System Based on Multimodal Physiological Signals and Self-Assessment Manikin
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  • This paper proposed a new Affective Virtual Reality System (AVRS), and assessed arousal with Electroencephalography (EEG), Heart Rate (HR), Galvanic Skin Reaction (GSR) and Self-Assessment Manikin (SAM).
  • VR emotion materials could deliver a better emotion elicitation effect than 2D video on negative emotional scenes according to an intergroup experiment.
  • AVRS was proved as an effective material capable of eliciting emotion for psychological research mental illness diagnosis and virtual reality interaction research.
  • This system can be applied to psychological research, mental illness diagnosis and virtual reality interaction research.
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Announcements

August 12, 2026

Call for Papers

IEEE J-ERM Special Issue The submission deadline has been extended to 5 August 2026 for our Special Issue on “Emerging Paradigms in Intelligent Electromagnetic Imaging and Sensing for Health and Medicine.” We welcome original research on AI-enabled electromagnetic imaging, RF and microwave sensing, biomedical antennas, wearable technologies, metamaterials, digital health, and related areas. We look forward to your submissions and would appreciate you sharing this opportunity with your networks. 📅 Extended Deadline: 5 August 2026
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.
June 14, 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.
January 1, 2026

New Editor-in-Chief Appointed for IEEE J-ERM

IEEE is pleased to announce the appointment of a new Editor-in-Chief effective January 2025. We thank the outgoing EIC for years of exceptional service.

NEWS

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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