IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITYIEEE电磁兼容汇刊
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY(英文缩写 IEEE T ELECTROMAGN C),ISSN 0018-9375,eISSN 1558-187X,中文译名:IEEE电磁兼容汇刊 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-09-27 至 2026-09-27，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 2.036 | Q3 |
| 2022 | 2.100 | Q3 |
| 2023 | 2.000 | Q3 |
| 2024 | 2.500 | Q2 |
| 2025 | 2.600 | Q3 |
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY 最新收录文献
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1. Evaluating Time Occupancy and Time-Scales in Interference Testing with Pulse-Modulated Noise.
1. 评估脉冲调制噪声干扰测试中的时间占用和时间尺度PMID:日期:2025-04-14We present experimental results investigating the utility of pulse-modulated noise (PMN) for general-purpose, systematic interference testing. Time-domain interference vulnerabilities are examined by modifying the PMN duty cycle, which controls time occupancy, and the PMN period, which modifies the time-scale. The PMN waveform class that we utilize depends on only two parameters, making it far simpler than real-world communication signals and easier to generate. We perform experimentation with a conducted interference testbed that uses a consumer off-the-shelf (COTS) IEEE 802.11n Wireless Local Area Network (WLAN) Wi-Fi link as the victim system. Comparisons are also made between PMN and measured long-term evolution (LTE) and Wi-Fi signals of corresponding time occupancies to assess if realistic interference impacts are generated by PMN. We find that time occupancy is a strong predictor of interference impacts, but that time-scale and time correlations can also be relevant factors in some circumstances. Overall, our findings support PMN as a useful class of artificial test waveforms for interference testing that can be used to characterize a wide range of interference vulnerabilities on a bidirectional communication link.
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2. Assessing Directional Time-Dependent Interference Vulnerabilities in Closed-Box Wireless Systems.
PMID:日期:2025-01-01A general-purpose methodology to assess time-dependent interference vulnerabilities is demonstrated with two different consumer off-the-shelf (COTS), closed-box wireless systems at both the source (data payload origin) and destination (data payload recipient). Specifically, using a point-to-point microwave link operating in the unlicensed U-NII-5 6 GHz band and an IEEE 802.11n Wi-Fi link operating in the U-NII-1 5 GHz band, we evaluate the impact of injected pulse-modulated noise (PMN) with various signal periods at both the source and destination. Observed distributions of link throughput demonstrate 1) asymmetric variations in link response depending on whether interference targeted the source or destination 2) throughput degradations on some interference time-scales that are problematic for critical applications requiring a consistent quality of service 3) intersystem differences in susceptibility to particular time-scales. Furthermore, compared to stationary additive white Gaussian noise (AWGN) with the same average power, impacts from PMN are observed to induce greater link degradation at both the source and destination, emphasizing the need to reexamine established test methods that use stationary AWGN as a preferred interference benchmark.
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3. Measurement of Ambient Magnetic Field Noise for Through-the-Earth (TTE) Communications and Historical Comparisons.
PMID:日期:2024-06-01Recent results of low-frequency (<6 kHz) magnetic field noise measurements at underground coal mines are presented. A comparison of these results to measurements made 35-40 years ago suggests that the magnetic field noise has increased substantially since this period of time. The ambient noise level is an important factor in the operation of through-the-earth (TTE) communications systems, and the data presented herein are a consideration in the design of future TTE systems.
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4. Machine learning-based prediction of MRI-induced power absorption in the tissue in patients with simplified deep brain stimulation lead models.
PMID:日期:2021-10-01Interaction of an active electronic implant such as a deep brain stimulation (DBS) system and MRI RF fields can induce excessive tissue heating, limiting MRI accessibility. Efforts to quantify RF heating mostly rely on electromagnetic (EM) simulations to assess individualized specific absorption rate (SAR), but such simulations require extensive computational resources. Here, we investigate if a predictive model using machine learning (ML) can predict the local SAR in the tissue around tips of implanted leads from the distribution of the tangential component of the MRI incident electric field, E. A dataset of 260 unique patient-derived and artificial DBS lead trajectories was constructed, and the 1 g-averaged SAR, 1gSAR, at the lead-tip during 1.5 T MRI was determined by EM simulations. E values along each lead's trajectory and the simulated SAR values were used to train and test the ML algorithm. The resulting predictions of the ML algorithm indicated that the distribution of E could effectively predict 1gSAR at the DBS lead-tip (R = 0.82). Our results indicate that ML has the potential to provide a fast method for predicting MR-induced power absorption in the tissue around tips of implanted leads such as those in active electronic medical devices.
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5. Numerical simulation of the radiofrequency safety of 128-channel hd-EEG nets on a 29-month-old whole-body model in a 3 Tesla MRI.
PMID:日期:2021-10-01This study investigates the radiofrequency (RF) induced heating in a pediatric whole-body voxel model with a high-density electroencephalogram (hd-EEG) net during magnetic resonance imaging (MRI) at 3 Tesla. A total of three cases were studied: no net (NoNet), a resistive hd-EEG (NeoNet), and a copper (CuNet) net. The maximum values of specific absorption rate averaged over 10g-mass (10gSAR) in the head were calculated with the NeoNet was 12.51 W/kg and in the case of the NoNet was 12.40 W/kg. In contrast, the CuNet case was 17.04 W/Kg. Temperature simulations were conducted to determine the RF-induced heating without and with hd-EEG nets (NeoNet and CuNet) during an MRI scan using an age-corrected and thermoregulated perfusion for the child model. The results showed that the maximum temperature estimated in the child's head was 38.38 °C for the NoNet, 38.43 °C for the NeoNet, and 43.05 °C for the CuNet. In the case of NeoNet, the maximum temperature estimated in the child's head remained compliant with IEC 60601 for the MRI RF safety limit. However, the case of CuNet estimated to exceed the RF safety limit, which may require an appropriate cooling period or a hardware design to suppress the RF-induced heating.
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6. 5 GHz Band LTE-LAA Signal Selection for Use as the Unintended Signal in ANSI C63.27 Wireless Coexistence Testing.
PMID:日期:2020-08-01This article details the experimental work conducted at the Electromagnetic Compatibility and Wireless Laboratory, U.S. Food and Drug Administration, to investigate the use of LAA signals for wireless coexistence testing. A software defined radio platform was deployed to generate realistic LAA signals and measure the wireless coexistence impact on the LAA communication link. The equipment under test (EUT) used IEEE 802.11ac as an example incumbent technology in the 5 GHz band. The standardized radiated anechoic chamber method was used for testing. Results highlight the mutual coexistence impact of LAA in the 5 GHz band and suggest that selecting an LAA signal with the maximum possible channel time occupancy and the highest possible modulation and coding scheme (MCS) yields the most impactful coexistence situation on both the EUT and the LAA system. Additionally, an analysis of the internal LAA system states during coexistence testing is presented to document the inverse relationship between LAA transmit and wait times during coexistence and the adverse impact of challenging coexistence scenarios on successful channel access. Finally, the risk management process of wireless coexistence for medical devices is summarized and associated with coexistence testing.
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7. Numerical and Experimental Analysis of Radiofrequency-Induced Heating Versus Lead Conductivity During EEG-MRI at 3 T.
PMID:日期:2019-06-01This study investigates radiofrequency (RF)-induced heating in a head model with a 256-channel electroencephalogram (EEG) cap during magnetic resonance imaging (MRI). Nine computational models were implemented each with different EEG lead electrical conductivity, ranging from 1 to 5.8 × 10 S/m. The peak values of specific absorption rate (SAR) averaged over different volumes were calculated for each lead conductivity. Experimental measurements were also performed at 3-T MRI with a Gracilaria Lichenoides (GL) phantom with and without a low-conductive EEG lead cap ("InkNet"). The simulation results showed that SAR was a nonlinear function of the EEG lead conductivity. The experimental results were in line with the numerical simulations. Specifically, there was a Δ of 1.7 °C in the GL phantom without leads compared to Δ of 1.8 °C calculated with the simulations. Additionally, there was a Δ of 1.5 °C in the GL phantom with the InkNet compared to a Δ of 1.7 °C in the simulations with a cap of similar conductivity. The results showed that SAR is affected by specific location, number of electrodes, and the volume of tissue considered. As such, SAR averaged over the whole head, or even SAR averaged over volumes of 1 or 0.1 g, may conceal significant heating effects and local analysis of RF heating (in terms of peak SAR and temperature) is needed.
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8. Correlation-Based Uncertainty in Loaded Reverberation Chambers.
PMID:日期:2018-10-01When reverberation chambers are loaded to increase the coherence bandwidth for modulated-signal measurements, a secondary effect is decreased spatial uniformity. We show that an appropriate choice of stirring sequence, consisting of a combination of mode-stirring mechanisms such as paddle and antenna-platform stirring, can mitigate the potential for increased uncertainty. We develop a new mode-stirring sample correlation model for uncertainty due to the stirring sequence. In a comparison with an empirical uncertainty analysis, the model is found to have an agreement within 2.5%. Our analysis is demonstrated for four loading cases in each of three reverberation chambers. The model is used to determine an optimal stirring sequence for a given chamber setup directly from correlations associated with each stirring mechanism. The model can also be understood in terms of the entropy of a measurement and it is shown that maximizing the entropy corresponds to a minimized uncertainty. The method presented here not only provides insight into sources of uncertainty but also allows users to determine an optimal mode-stirring sequence with minimized uncertainty for a given chamber setup.
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9. Estimating the Likelihood of Wireless Coexistence Using Logistic Regression: Emphasis on Medical Devices.
PMID:日期:2018-10-01Medical device manufacturers incorporate wireless technology in their designs to offer convenience and agility to both patients and caregivers. However, the use of unlicensed radio spectrum bands by both medical devices and other equipment raises concerns about wireless coexistence. Work by the accredited standards committee C63 of the American National Standards Institute (ANSI) to provide the community with a consensus standard for coexistence evaluation resulted in the publication of the ANSI C63.27 standard, which was later recognized by the U.S. Food and Drug Administration. Estimating the likelihood of wireless coexistence of a system under test (SUT) in a given environment is central to the evaluation and reporting of wireless coexistence, as made clear in the C63.27 standard. However, no method to perform this estimation is provided. In this paper, we propose the use of logistic regression (LR) to estimate the likelihood of wireless coexistence of a medical device in its intended environment. Radiated open environment coexistence testing was used to realize a test scenario in which the interfering network was IEEE 802.11n Wi-Fi and the SUT was ZigBee; exemplary wireless technologies for interfering network and medical device, respectively. LR model fitting was then performed to derive a model that describes the performance of SUT under a range of wireless coexistence phenomena. Finally, results were incorporated with the outcome of a spectrum survey using Monte Carlo simulation to estimate the SUT likelihood of wireless coexistence in a hospital environment.
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10. Life-Time Dosimetric Assessment for Mice and Rats Exposed in Reverberation Chambers of the 2-Year NTP Cancer Bioassay Study on Cell Phone Radiation.
PMID:日期:2017-12-01In this paper, we present the detailed life-time dosimetry analysis for rodents exposed in the reverberation exposure system designed for the two-year cancer bioassay study conducted by the National Toxicology Program of the National Institute of Environmental Health Sciences. The study required the well-controlled and characterized exposure of individually housed, unrestrained mice at 1900 MHz and rats at 900 MHz, frequencies chosen to give best uniformity exposure of organs and tissues. The wbSAR, the peak spatial SAR and the organ specific SAR as well as the uncertainty and variation due to the exposure environment, differences in the growth rates, and animal posture were assessed. Compared to the wbSAR, the average exposure of the high-water-content tissues (blood, heart, lung) were higher by ~4 dB, while the low-loss tissues (bone and fat) were less by ~9 dB. The maximum uncertainty over the exposure period for the SAR was estimated to be <49% (k=2) for the rodents whereas the relative uncertainty between the group was <14% (k=1). The instantaneous variation (averaged over 1 min) was <13% (k=1), which is small compared to other long term exposure research projects. These detailed dosimetric results empowers comparison with other studies and provides a reference for studies of long-term biological effects of exposure of rodents to RF energy.