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2020 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)最新文献

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Computational microdosimetry at cellular level at millimeter wave frequencies 毫米波频率下细胞水平的计算微剂量学
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9384902
Zain Haider, Y. Drean, R. Sauleau, M. Zhadobov
A microdosimetric study is performed on a canonical biological cell model in the 60-GHz band. Complex permittivity data of dielectric models of the membrane, cytoplasm, and extracellular medium at microwaves has been extrapolated to millimeter-wave (mmWave) frequencies. A quasi-static electromagnetic (EM) analysis is employed to solve the Laplace equation numerically. The results demonstrate that cellular and sub-cellular membranes are no longer able to shield the intracellular organelles at mmWave frequencies, as it is the case at lower frequencies, and almost 100% of the electric field penetrates inside the cell, reaching intracellular organelles.
在60 ghz波段对典型生物细胞模型进行了微剂量学研究。微波作用下膜、细胞质和细胞外介质的介电模型的复介电常数数据已被外推到毫米波频率。采用准静态电磁分析方法对拉普拉斯方程进行了数值求解。结果表明,在毫米波频率下,细胞和亚细胞膜不再能够屏蔽细胞内细胞器,而在较低频率下则是如此,几乎100%的电场穿透细胞内部,到达细胞内细胞器。
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引用次数: 0
A Random Tree Based Algorithm for Blood Pressure Estimation 一种基于随机树的血压估计算法
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385038
Andrea Tiloca, G. Pagana, D. Demarchi
Machine learning algorithms shown great potential in medical applications. This paper shows the use of it for noninvasive estimation of blood pressure through systems based on the unsupervised collection of signals. Our work is based on the study of morphology and timing characteristics of ECG and PPG signals like Pulse Transit Time, Heart Rate and others showed in this paper. We implement Random Forest regression algorithm to reach the final result of cuff-less Blood Pressure (BP) estimation with RMS error of 13 mmHg for SBP and 12.89 mmHg for DBP.
机器学习算法在医学应用中显示出巨大的潜力。本文展示了通过基于无监督信号采集的系统,将其用于无创血压估计。我们的工作是基于研究心电图和PPG信号的形态和时间特征,如脉冲传递时间,心率等。我们采用随机森林回归算法得到无袖带血压(BP)的最终估计结果,收缩压的均方根误差为13 mmHg,舒张压的均方根误差为12.89 mmHg。
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引用次数: 2
Comparison of two global optimization techniques for hyperthermia treatment planning of breast cancer: Coupled electromagnetic and thermal simulation study 乳腺癌热疗方案两种全局优化技术的比较:电磁与热耦合模拟研究
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385039
Divya Baskaran, K. Arunachalam
The performance of the genetic algorithm (GA) and particle swarm optimization (PSO) was compared to identify the best-suited algorithm for hyperthermia treatment planning (HTP) of breast cancer. Both algorithms were tested on four heterogeneous patient breast models derived from magnetic resonance (MR) images. Electromagnetic (EM) simulations indicate that PSO induces 5.7% less hotspot to target quotient (HTQ) compared to GA. However, coupled EM and thermal simulations of four patient models indicate that GA based HTP induces $boldsymbol{1.25}^{circ} mathbf{C}-boldsymbol{3.87}^{circ}mathbf{C}$ higher average temperature in cancer tissue with limited thermal hotspots in healthy tissue when compared to PSO algorithm. This was observed to be due to the low power level assigned to each channel by PSO compared to GA. Coupled simulations of heterogeneous patient models indicate GA is a better global optimization algorithm for HTP of breast cancer.
比较遗传算法(GA)和粒子群算法(PSO)的性能,以确定最适合乳腺癌热疗计划(HTP)的算法。这两种算法都在四种不同的患者乳房模型上进行了测试,这些模型来自于磁共振(MR)图像。电磁仿真结果表明,与遗传算法相比,粒子群算法对目标商(HTQ)的诱导热点减少了5.7%。然而,四种患者模型的耦合EM和热模拟表明,与PSO算法相比,基于GA的HTP在健康组织中具有有限热热点的癌症组织中具有更高的平均温度$boldsymbol{1.25}^{circ} mathbf{C}-boldsymbol{3.87}^{circ}mathbf{C}$。观察到这是由于与GA相比,PSO分配给每个通道的功率水平较低。异质性患者模型的耦合仿真表明,遗传算法是一种较好的乳腺癌HTP全局优化算法。
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引用次数: 0
Phaseless Microwave Breast Imaging: Preliminary Study and Coupling Medium Effects 无相微波乳房成像:初步研究及耦合介质效应
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385009
S. Costanzo, G. Lopez
A phaseless imaging approach, based on the postprocessing of amplitude-only data, is described in the present work. A Contrast Source inversion procedure is adopted, but not requiring a preliminary phase retrieval stage. The reconstruction capabilities of the proposed approach are tested on a numerical breast model, by assuming different coupling mediums.
本文描述了一种基于纯幅值数据后处理的无相成像方法。采用了对比源反演程序,但不需要初始相位检索阶段。在一个数值乳房模型上,通过假设不同的耦合介质,验证了该方法的重构能力。
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引用次数: 3
Biosensor Based on a Resonant Technique for Aqueous Glucose Monitoring Using Standardized Medical Test Tubes 基于共振技术的生物传感器用于标准化医用试管水葡萄糖监测
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385034
Mahdi Srour, B. Potelon, C. Quendo, C. Person, J. Carré
This paper presents a biosensor based on a resonant technique that quantifies the glucose concentration of a water/glucose mixture inserted into a standard medical test tube, which is located in the middle of a waveguide. The biosensor provides real-time data about the concentration of the solution under test by means of microwave non-invasive measurements. Interaction between electromagnetic fields and the dielectric solution to be measured (water/glucose mixture) results in a change of the S-parameters, which are observed in the 2.6 to 3.95 GHz range. The technique presented here could be further used for the monitoring of other liquids or aqueous solutions.
本文提出了一种基于共振技术的生物传感器,该传感器可以量化插入位于波导中间的标准医学试管中的水/葡萄糖混合物的葡萄糖浓度。该生物传感器通过微波无创测量提供被测溶液浓度的实时数据。电磁场与待测介质溶液(水/葡萄糖混合物)的相互作用导致s参数的变化,在2.6 ~ 3.95 GHz范围内观察到s参数的变化。本文介绍的技术可以进一步用于其他液体或水溶液的监测。
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引用次数: 2
Wearable Ultra Wideband Technology for Daily Activity Recognition 日常活动识别的可穿戴超宽带技术
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385016
R. Bharadwaj, S. Koul
This paper presents daily activity recognition using wearable ultra-wideband technology. Channel parameters are analyzed for various postures occurring during the daily activity which act as key features to estimate the activity trend. Compact wearable antennas are placed on suitable locations on the human subject for each activity (walking, standing and sitting) studied in order to have maximum direct path propagation between the two wearable on-body nodes. It is observed that the three activities analyzed show distinct variation in the channel features making it possible to classify the activities through statistical analysis and inter-distance measurements between the wearable nodes. Low correlation is observed between the activity patterns with 0.01-0.3 correlation coefficient values. This indicates that the activities can be easily distinguished from each other using channel information. The work will be suitable for tracking, rehabilitation and activity monitoring applications in the healthcare domain.
提出了一种基于可穿戴超宽带技术的日常活动识别技术。对日常活动中出现的各种姿势进行通道参数分析,作为估计活动趋势的关键特征。紧凑型可穿戴天线被放置在人体受试者的适当位置,用于研究每一种活动(行走、站立和坐姿),以便在两个可穿戴身体节点之间具有最大的直接路径传播。可以观察到,所分析的三种活动在通道特征上表现出明显的变化,从而可以通过统计分析和可穿戴节点之间的距离测量对活动进行分类。在0.01 ~ 0.3的相关系数范围内,活动模式的相关性较低。这表明使用通道信息可以很容易地区分活动。这项工作将适用于医疗保健领域的跟踪、康复和活动监测应用。
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引用次数: 4
Electro-inductive Wave Transmission Line based Microfluidic Microwave Sensor 基于电感性波传输线的微流控微波传感器
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9384903
M. Gil, P. Vélez, F. Aznar-Ballesta, A. Mesegar-Ruiz, Jonatan Muñoz-Enano, Marcos Duque, F. Martín
We propose the use of electro-inductive wave (EIW) transmission lines based on complementary split-ring resonators (CSRR) to implement a differential-mode microwave sensor for biological fluid sensing purposes. Differential-mode operation is achieved by comparing the response of the device loaded with a reference (REF) sample to the one of the sensor loaded with a sample under test (SUT). By this means, any alteration or difference in the SUT as compared to the REF sample (seen as an asymmetry) can be detected. The designed and fabricated device has been validated by considering ethanol and glucose solutions in pure deionized (DI) water. The main relevant aspect of the proposed sensor is the high sensitivity and resolution. Thus, this device is especially useful for the characterization of solute content in very diluted solutions.
我们建议使用基于互补劈环谐振器(CSRR)的电感性波(EIW)传输线来实现用于生物流体传感目的的差模微波传感器。差模操作是通过比较加载参考样品(REF)的设备的响应与加载待测样品(SUT)的传感器的响应来实现的。通过这种方法,可以检测到SUT与REF样品(视为不对称)相比的任何改变或差异。通过考虑乙醇和葡萄糖溶液在纯去离子水中的作用,对所设计和制造的装置进行了验证。该传感器的主要相关方面是高灵敏度和高分辨率。因此,该装置特别适用于非常稀释溶液中溶质含量的表征。
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引用次数: 2
Evaluation of Cell Membrane Effects After 3D Multicellular Spheroids RF Exposure 三维多细胞球体射频暴露后细胞膜效应的评价
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385011
Jelena Kolosnjaj-Tabi, Géraldine Albérola, S. Augé, A. Tamra, D. Dubuc, K. Grenier, M. Rols
Herein we present the assessment of RF-induced cell membrane effects assessment in multicellular spheroids, which are three-dimensional tissue models resembling small avascular tumors. The RF exposure was performed in a dedicated RF applicator, which allowed a precise RF metrology as well as calibrated and systematized conditions of application of electromagnetic fields to multiple 3D multicellular spheroids. The used RF micro-device allowed us varying different RF parameters (such as frequency, power, or modulation) in order to evaluate RF-related biological effects on the membranes of cells constituting the multicellular spheroids. The effects of electromagnetic signals were assessed on cancer cells spheroids made with HCT-116 cells. Appraised parameters included the evaluation of cell membrane integrity, and the assessment of spheroids global structure after illumination. After RF exposure at SAR values ranging from 0.4 to 7.5 kW/kg, we did not observe any detrimental effects on the cell membrane level. Moreover, the spheroids exhibited an unmodified architecture.
在这里,我们提出了射频诱导的细胞膜效应评估在多细胞球体,这是三维组织模型类似于小的无血管肿瘤。射频暴露是在一个专用的射频应用器中进行的,它允许精确的射频计量,以及电磁场对多个3D多细胞球体应用的校准和系统化条件。所使用的射频微设备允许我们改变不同的射频参数(如频率、功率或调制),以评估射频对构成多细胞球体的细胞膜的相关生物效应。研究了电磁信号对HCT-116细胞形成的癌细胞球体的影响。评价参数包括细胞膜完整性评价和光照后球体整体结构评价。在SAR值为0.4至7.5 kW/kg的射频暴露后,我们没有观察到对细胞膜水平的任何有害影响。此外,椭球体表现出未经修改的结构。
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引用次数: 0
Toward an Energy-Autonomous Wearable System for Human Breath Detection 一种用于人体呼吸检测的能量自主可穿戴系统
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385027
G. Paolini, Michael Feliciani, D. Masotti, A. Costanzo
This work presents a research about a 5.8 GHz system for vital signals monitoring, specifically human breath. The system consists of two main components: a Self-Injection Locked Oscillator (SILO), whose input and output ports are aperture-coupled to a dual-polarized patch antenna, and a passive receiver, coupled to the SILO output port, consisting of the cascade connection of a peak detector and a full–wave RF–to–DC rectifier. The SILO generates the carrier, that is frequency-modulated by chest displacements and backscattered to the SILO itself. The latter is loosely coupled to the passive receiving sub-system. In this way, the SILO output signal is simultaneously demodulated by the detector, and DC-converted to provide energy for the wireless communication of the received vital signals, e.g. by means of an IoT (Internet of Things) low-power node. The system is designed for being fully wearable; it can be mounted inside a plastic case and worn by the user under test at chest–level position. Critical breath rates can be detected and sent to a caregiver, thus enabling monitoring of chronic diseases, such as bradypnea or tachypnea, while performing a normal life.
本文研究了一种5.8 GHz的生命信号监测系统,特别是人体呼吸信号的监测。该系统由两个主要组件组成:一个自注入锁定振荡器(SILO),其输入和输出端口与双极化贴片天线的孔耦合;一个被动接收器,耦合到SILO输出端口,由峰值检测器和全波RF-to-DC整流器的级联连接组成。发射井产生载波,通过胸部位移进行频率调制,并反向散射到发射井本身。后者与无源接收子系统松散耦合。通过这种方式,SILO输出信号被检测器同时解调,并进行直流转换,为接收到的生命信号的无线通信提供能量,例如通过IoT(物联网)低功率节点。该系统被设计为完全可穿戴;它可以安装在一个塑料盒内,由被测试用户在胸部位置佩戴。可以检测到临界呼吸率并将其发送给护理人员,从而能够在正常生活中监测慢性疾病,如呼吸急促或呼吸急促。
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引用次数: 1
PIN Diode Switching Speed for MRI Applications 用于MRI应用的PIN二极管开关速度
Pub Date : 2020-12-14 DOI: 10.1109/IMBIoC47321.2020.9385053
R. Caverly
This paper presents the results of an investigation of PIN diode switching speed using a variety of PIN diode types that include high speed receive switching devices as well as high power transmitting PIN diodes. A short introduction on the PIN diode simulation model will be provided and then simulations of a common MRI transmit/receive switch will be used to compare the different device switching speeds. The results show that thick I-region diodes are shown to exhibit extremely low resistance values at high currents, providing low insertion loss at the high RF powers in transmitting, active detune and block switching applications as well as robust blocking/detuning functions, but at a slower switching rate compared with thinner devices.
本文介绍了使用多种PIN二极管类型(包括高速接收开关器件和高功率发射PIN二极管)对PIN二极管开关速度的研究结果。本文将简要介绍PIN二极管仿真模型,然后对常见的MRI发射/接收开关进行仿真,以比较不同的器件切换速度。结果表明,厚的i区二极管在大电流下表现出极低的电阻值,在高射频功率下提供低的插入损耗,在发射、有源失谐和块切换应用中以及强大的块/失谐功能,但与较薄的器件相比,开关速率较慢。
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引用次数: 0
期刊
2020 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)
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