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Realization and Experimental Assessment of Baseball-Bat Microwave Antenna for Low Power Cancer Ablation
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  • Controlling current distribution and applying thermal distribution comparison of causative EM radiation facilitate prior understanding of the required electromagnetic field that can create conformal heating to the targeted cancerous lesion.
  • Synthesizing the desired radiator with self-imbedded choke operating at low input power can minimize consequent return currents along antenna shaft which alleviates overheating problems and damaging surrounding healthy tissues along antenna shaft.
  • End-fire highly directed radiation is found to be more efficient in ablating tumors using less input power than that associated with omnidirectional (broadside) applicator using high input power to force homogeneous and fast ablation which contributes in providing confined homogeneous heating required for full ablation.
  • BSB microwave antenna can provide confined heating of approximately 30 mm diameter tumor at only 3W input power which is comparable to that obtained at much higher input power.
  • Maintain low reflection over wide frequency band can provide wideband mapping of heterogeneous dielectric and thermal properties of biological tissues operating at the same low power level.
An invivo-mimickingIn vitrotestbed for brain-computer interfaces
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  • A human-body-mimicking electrolyte, a Pt electrode, and a clinical electrode form an accurate and low-cost invitrovalidation method for brain-computer interfaces.
  • The proposedin vitrosetup provides a more clinically accurate assessment of brain-computer interface performance than prior methods.
  • Brain-computer interfaces can assist the medical field in better understanding and treating neurological disorders (e.g. epilepsy, Alzheimer’s, depression, etc.), and accurate assessment of device performance is key to ensuring the ability to record the relevant neural signals.
  • Priorin vitrovalidation methods do not closely replicate an invivorecording environment creating the potential for overestimation of device sensitivity, thus increasing the cost and number of animals required during invivotesting.
  • The developed electrode model and impedance characterization can be used to better inform implanted sensor design in the future.
Influence of low frequency Near-Field Sources Position on the Assessment of Children Exposure Variability using Stochastic Dosimetry
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  • The stochastic dosimetry approach permitted to evaluate the assessment of children exposure variability due to the position of a low frequency near-field source with low computational efforts
  • The method was useful for individuating the source positions area, where the source could cause the highest levels of exposure
  • The target biological application is the evaluation of children exposure level due to the common use of domestic appliances, considering the variability of a real exposure scenario
  • The work permitted to expand the knowledge about the low frequency near-field sources children exposure, not limiting it only on some worst-case scenario hypothesis
Cardiac Influence of Repetitive Transcranial Magnetic Stimulation in Small Animals
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  • Theoretically and experimentally evaluate important parameters such as current and stimulating frequencies in repetitive transcranial magnetic stimulation (rTMS) that could modulate heart rhythm.
  • Our system generated an eddy current of 25.4 μA/mm2 in the mouse brain regions and produced the maximum heart rhythm modulating effect at 20 Hz.
  • The combined modeling and experimental approach is applicable to explore the potential adverse effects of exogenous electromagnetic fields on heart rhythm.
  • Our study provides novel insights into the mechanism of heart rhythm modulation through rTMS and demonstrates the quantitative and morphological aspects of ECG alteration in such outcome.
  • The rTMS dominant frequency of 20 Hz induced the most pronounced heart rhythm prolongation, causing the heart rate to decrease by 58.65 % compared to that before rTMS.
Robustness of Time-Multiplexed Hyperthermia to Temperature Dependent Thermal Tissue Properties
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  • A time-multiplexed hyperthermia treatment planning technique aiming at focusing the tumor heating while protecting the healthy tissue is evaluated with temperature-dependent tissue properties.
  • The time-multiplexed hyperthermia via MOGA optimization can successfully intensify the heating into the target region while suppressing pre-defined hotspots when either constant thermal properties or temperature dependent tissue properties are assumed.
  • The targeted medical application is hyperthermia treatment planning in order to maximize heating in the tumor while minimizing heating in surrounding tissues.
  • This work demonstrates the robustness of the time-multiplexed hyperthermia approach to the variation of tissue properties due to temperature increases and ensures the clinical benefit of the method.
  • This work demonstrates that time-multiplexed hyperthermia is effective, regardless of the thermal model used.
Detection and Monitoring of Osteoporosis in a Rat Model by Thermoacoustic Tomography
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  • Thermoacoustic tomography (TAT) is applied to detect and monitor the formation of osteoporosis for the first time, and to further explore the physiological mechanism of osteoporosis formation from the perspective of tissue dielectric properties.
  • Significant differences in thermoacoustic signal intensities between normal bone growth and osteoporotic bone formation are observed, suggesting that TAT has the potential to detect and monitor osteoporosis.
  • TAT can provide useful information for diagnosis of osteoporosis, prediction of fracture risk, and monitoring of disease progression.
  • This study represents the first for TAT to in vivo image osteoporosis and provides initial facts that TAT may become a new tool for noninvasive detection and monitoring of osteoporosis.
  • This work is an exploratory experimental study of TAT for imaging osteoporosis, using micro-CT to validate the TAT findings.
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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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