{"title":"IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology About this Journal","authors":"","doi":"10.1109/JERM.2025.3598879","DOIUrl":"https://doi.org/10.1109/JERM.2025.3598879","url":null,"abstract":"","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 3","pages":"C3-C3"},"PeriodicalIF":3.2,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11134524","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Publication Information","authors":"","doi":"10.1109/JERM.2025.3598883","DOIUrl":"https://doi.org/10.1109/JERM.2025.3598883","url":null,"abstract":"","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 3","pages":"C2-C2"},"PeriodicalIF":3.2,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11134522","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Employing Surface Waves for Characterizing Skin: Experimental Validation","authors":"Shangyang Shang;Milad Mokhtari;Milica Popović","doi":"10.1109/JERM.2025.3555198","DOIUrl":"https://doi.org/10.1109/JERM.2025.3555198","url":null,"abstract":"Microwave technology has recently been explored as a non-invasive method for skin cancer diagnosis. While most research has focused on reflection signal analysis, transmission-based approaches remain under-explored. In this work, surface wave transmissions generated by two antennas are employed to characterize skin cancer in a non-invasive way. We refined the theoretical model proposed in our previous work, showing that the transmission coefficient (<inline-formula><tex-math>$S_{21}$</tex-math></inline-formula>) amplitude and phase shift can effectively indicate both the presence and the size of skin tumors. Controlled experiments were conducted to validate the theory, using oil-gelatin-based phantoms to mimic both healthy skin and malignant tissue with varying tumor sizes. The experimental results strongly support the theoretical predictions and align with the simulation outcomes from our previous study.","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 2","pages":"110-116"},"PeriodicalIF":3.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of MRI Field Strengths on Metasurface Enhancement","authors":"Robert Kowal;Lucas Knull;Max Joris Hubmann;Ivan Vogt;Daniel Düx;Florian Maier;Marcel Gutberlet;Bennet Hensen;Frank Wacker;Oliver Speck;Holger Maune","doi":"10.1109/JERM.2025.3548169","DOIUrl":"https://doi.org/10.1109/JERM.2025.3548169","url":null,"abstract":"Metasurfaces have proved valuable in magnetic resonance imaging (MRI) applications through modifying the field profiles of radiofrequency coils to enhance imaging. Using metasurfaces to enhance a conventional coil, such as the table-integrated spine coil, allows imaging with practically no cables inside the bore. This work investigated the fundamental relationship between an MRI system's field strength and the enhancement effect of a metasurface. We simulated and manufactured grid metasurfaces for field strengths of 0.55 Tesla (0.55 T), 1.5 T and 3 T and evaluated them experimentally. We found increased enhancements of the signal-to-noise ratio (SNR) with lower field strengths. At 0.55 T, the enhancement in the vicinity of the metasurface (10.9-fold) was measured 3.8 times higher than at 3 T. Moreover, the SNR decreased less with field strength next to the metasurface compared to the spine coil. Our results indicate the capability of metasurfaces in low field MRI systems and can stimulate further research. This could benefit future applications in MRI-guided interventions through simplified handling, as well as countries currently underserved with MRIs due to low manufacturing costs.","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 2","pages":"126-132"},"PeriodicalIF":3.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10946275","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Publication Information","authors":"","doi":"10.1109/JERM.2025.3568681","DOIUrl":"https://doi.org/10.1109/JERM.2025.3568681","url":null,"abstract":"","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 2","pages":"C2-C2"},"PeriodicalIF":3.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11010167","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology About this Journal","authors":"","doi":"10.1109/JERM.2025.3568685","DOIUrl":"https://doi.org/10.1109/JERM.2025.3568685","url":null,"abstract":"","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 2","pages":"C3-C3"},"PeriodicalIF":3.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11010166","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sandra Costanzo;Syed Doha Uddin;Milad Mokhtari;Amin Abbosh;Changzhi Li
{"title":"Software Defined Radars for Low-Cost Healthcare Monitoring and Imaging Systems: A Comprehensive Review","authors":"Sandra Costanzo;Syed Doha Uddin;Milad Mokhtari;Amin Abbosh;Changzhi Li","doi":"10.1109/JERM.2025.3548278","DOIUrl":"https://doi.org/10.1109/JERM.2025.3548278","url":null,"abstract":"Technological advancements have enabled the implementation of software-defined radars (SDRadar) as low-cost, reconfigurable radar systems using software processing. The adaptability and reusability of SDRadar have expanded their application in many healthcare applications. An SDRadar is usually designed with a basic architecture that includes a transmitter, receiver, and a digital signal processor. The transmitter sends out radio waves, which are reflected, or penetrated and scattered, from the targeted object. Those reflected or scattered signals are captured by the received and processed using a digital signal processor to extract useful information. This flexibility allows SDRadar to be easily reprogrammed for different tasks without changing the hardware. To support and motivate researchers and practitioners of various scientific and engineering expertise, a state-of-the-art review of SDRadar, focusing on the healthcare applications of continuous waves, frequency-modulated continuous waves, and stepped-frequency continuous-wave modes, is presented. The review focuses on heart rate and respiration monitoring, as well as medical radar imaging, over a broad frequency range from 0.2 GHz to 20 GHz. Future research trends and potential advancements are also discussed.","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 3","pages":"253-262"},"PeriodicalIF":3.2,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Naming Zhang;Yinghao Li;Xinze Wang;Gaoyang Pan;Shuya Ning;Han Zhang;Bin Yang;Shuhong Wang
{"title":"Research on Microbial Aerosol Control Device Based on Electromagnetic Field Theory","authors":"Naming Zhang;Yinghao Li;Xinze Wang;Gaoyang Pan;Shuya Ning;Han Zhang;Bin Yang;Shuhong Wang","doi":"10.1109/JERM.2025.3547881","DOIUrl":"https://doi.org/10.1109/JERM.2025.3547881","url":null,"abstract":"Pathogenic microbial aerosols pose a significant threat to human health. It is essential to quickly and effectively disinfect the air to prevent the spread of pathogens, enhance public health, and guarantee health and safety. Electromagnetic disinfection is a new type of disinfection technology, which has been proven to inactivate various bacteria, viruses, and other microorganisms, and has the advantages of high efficiency and environmental protection. This study proposed an electromagnetic disinfection-based method for microbial aerosol disinfection. Electromagnetic field theory was used to establish the cavity's starting size, and electromagnetic simulation software was used to model and simulate the cavity. Then, a cavity system was established and disinfection experiments were conducted on indoor air and high-concentration microbial aerosols. The results show that when sterilizing indoor natural air, using an electromagnetic field with a frequency of 2450 MHz and a power of 200 W for 70 seconds can kill 93% of the bacteria in the air. In high-concentration aerosol disinfection experiments, the disinfection effect can be significantly improved as the power and action time increases. Most microorganisms can be removed when the electromagnetic field power is 200 W and the action time is 2 minutes. These results indicate that electromagnetic disinfection devices can effectively eliminate microorganisms in aerosols and provide a new method for controlling disease epidemics.","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 3","pages":"368-376"},"PeriodicalIF":3.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Non-Contact Dielectric Spectroscopy of Multi-Layered Substrates: Towards Organ-on-Chip Applications","authors":"Tim Hosman;Massimo Mastrangeli;Marco Spirito","doi":"10.1109/JERM.2025.3538953","DOIUrl":"https://doi.org/10.1109/JERM.2025.3538953","url":null,"abstract":"Dielectric spectroscopy is a label-free, non-contact, real-time, multi-layer sensing technology, and has been used for identification and quantification of many biological materials. A combination of such sensing features is in demand for monitoring of organ-on-chip systems; however available sensing technologies have yet to address this need. In this work, we explore the possibility of leveraging the inherent features of dielectric spectroscopy for the application in organ-on-chip systems, by investigating three key technological developments using open-ended coaxial probes. Firstly, biocompatible non-contact sensing capabilities are proved by showing similar sensing performance of Parylene C-coated probes and uncoated probes. Secondly, a setup and methodology are developed for highly accurate and non-destructive height positioning of the probe to allow for precise extraction of intermediate sample layers. Finally, non-contact multi-layer sensing performance of the presented technology is successfully demonstrated by means of a biological phantom in a three-layered system. With further integration, dielectric spectroscopy can potentially become a cornerstone sensing technique for organ-on-chip by enabling real-time non-contact tracking of various tissue contents and properties.","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 3","pages":"360-367"},"PeriodicalIF":3.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marie Mertens;Raphaël Trouillon;Tomislav Markovic;Ke Wu;Dominique Schreurs
{"title":"Principal Component Regression for Broadband Microwave-Microfluidic Chemometrics on Small Sample Counts","authors":"Marie Mertens;Raphaël Trouillon;Tomislav Markovic;Ke Wu;Dominique Schreurs","doi":"10.1109/JERM.2025.3537462","DOIUrl":"https://doi.org/10.1109/JERM.2025.3537462","url":null,"abstract":"While broadband dielectric spectroscopy enables label-free analysis of biological and chemical materials, extracting multiple concentrations from the data has remained a challenge. This work is one of the first demonstrations of simultaneous concentration extraction of three liquid constituents in a solution using broadband microwave spectroscopic data. Furthermore, the used methods eliminate the need for de-embedding or characterizing the measurement setup, simplifying the process. Advanced regression techniques such as Principal Component Regression (PCR) and Principal Least Squares (PLS) are applied to determine the concentrations of sodium chloride, glucose, and ethanol in water. As input data, <inline-formula><tex-math>$S$</tex-math></inline-formula>-parameters are measured between 0.5 and 26.5 GHz on a broadband coplanar waveguide sensor with a microfluidic container to transport the liquids. The training datasets consist of 27 and 34 samples, respectively. The mean absolute percentage error for sodium chloride predictions ranged from 3-5% for the different methods, while the minimal errors for glucose and ethanol predictions were 6-7% and 4-6%, respectively.","PeriodicalId":29955,"journal":{"name":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","volume":"9 2","pages":"117-125"},"PeriodicalIF":3.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}