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Accurate Doppler Radar-Based Cardiopulmonary Sensing Using Chest-Wall Acceleration
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  • This paper presents a new method to increase the robustness and accuracy of Doppler radar-based vital signs monitoring sensors.
  • It is shown that using the chest wall acceleration signal yields a better result compared to the chest wall displacement. The heartbeat rate detection accuracy is improved by more than 10% on average.
  • A novel mathematical representation for the heartbeat mechanical signal is provided. The model is quite useful in the analysis and understanding of the human heartbeat vibration on the chest wall.
  • The new model also confirms our observation that the chest wall acceleration provides a higher detection accuracy than its displacement.
RF Aspects of High and Ultra High Field Magnetic Resonance Imaging [(U)HF-MRI]: Recent Advances
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  • High magnetic field magnetic resonance imaging requires a new look at radio frequency structures for excitation and reception of the imaging signals from nucleons. This paper provides an overview of some of the current work being done for high frequency, high magnetic field magnetic resonance imaging.
  • New transmit and receiver structures are utilizing electromagnetic phenomenon rather than simple inductive effects as the frequency increases and wavelength (λ) decreases, allowing the use of metamaterials and wireless technologies.
  • These new radio frequency structures will provide enhanced signal to noise ratio, leading to increased contrast and higher resolution images
  • Improved, high resolution images will lead to better medical diagnoses.
Development of Water Content Dependent Tissue Dielectric Property Models
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  • Tissue constituents, air and water can be used as inputs to dielectric mixture models to predict dielectric properties of liver and lung at different hydration and inflation states, respectively.
  • Maxwell mixture theory is more successful than Maxwell-Fricke mixture theory for tissue dielectric property modelling in both low and high water content tissues.
  • Mixture models can be coupled with Debye and Cole-Cole equations to construct wideband tissue dielectric property models that can be used for multiple tissue types that have various water contents as well as different hydration states of the same tissue.
  • These models will potentially increase the accuracy of microwave ablation simulations of liver and lung by accounting for changes in tissue constituents due to temperature elevation and water vaporization.
Non-Contact Human Gait Analysis and Limb Joint Tracking Using Doppler Radar
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  • The developed EM model for human motions creates repeatable and realistic reference data which when coupled with the signal processing technique can be useful for obtaining a full understanding of human limb joint motion analysis.
  • The proposed method is successful in extracting different limb joint trajectories from a complex human motion but with some limitations such as difficulty in tracking hands for a walking subject and reliance on reference data to identify the desired motion details.
  • The targeted applications of this work are treating patients with joint problems, athlete performance analysis, motion classification, and so on.
  • The significance of this work is the development of a limb joint tracking technique suitable for use with low cost and simple Doppler radar in a typical non-controlled environment.
  • A by-product of this work is the use of a portable and flexible software-defined transceiver system as the Doppler radar utilized in the experiments.
Mesoporous titania-coated biosensor and FEM model design for highly sensitive detection of low molecular weight targets
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  • We present an easy-to-use, portable, autonomous RF electronic readout circuit as a first proof-of-concept for a passive biosensor network platform that integrates passive acoustic wave biosensors and their remote interrogation.
  • The acoustic device can detect low-weight biochemical targets in low-volume samples and represents an important step toward a biosensor network platform for cancer diagnosis and monitoring of environmental health.
  • The association of a Love wave device with functionalized porous matrices could improve the performance of the sensor in biological media for highly sensitive detection of low weight molecular targets while facilitating the development of an easily regenerable system.
  • The main innovation is related to the modelling of the device and simulation using the Finite Element Method (FEM), which is a good way to take into account the physical properties of porous 3D-layers which would also make it possible to design very sensitive layers adapted to the detection targets, such as cancer bio-markers and toxins.
  • This novel approach has potential applications low molecular weight biochemical detection for early cancer diagnosis and environmental monitoring, among others.
Combined Effect of 60 Hz Magnetic Fields and Anticancer Drugs on Human Hepatoma HepG2 Cells
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  • The magnetic fields exposure device was newly designed and produced for generating magnetic fields in a CO2-incubator culturing of human cells.
  • The results suggested that 60 Hz, 50 mT magnetic fields enhance the efficacy of anticancer drug to human cancer cells.
  • Three types of anticancer drugs used in this study are affected differently by the magnetic fields. The magnetic fields increase the effects for all the drugs, by which the numbers of viable cells are decreased by 40% than those with only the drugs alones.
  • If our finding can be applied clinically, magnetic fields exposure to cancer site might allow for an effective target chemotherapy, reducing dosage and suppressing side effects.
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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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