Feasibility Study of Hydration Monitoring using Microwaves Part 1: A Model of Microwave Property Changes with Dehydration
David Christopher Garrett, Elise Fear.
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However, existing assessment techniques lack the accuracy and/or convenience for ongoing monitoring, motivating the development of novel methods. We propose using low-power microwave measurements (2-12 GHz) at the extremities to monitor human hydration, relying on the strong relationship between dielectric properties of tissues and water content. Electromagnetic simulations of realistic models are used to explore changes in microwave signals transmitted through the forearm to changes in hydration. Tissue properties are adjusted according to expected changes in water content, and average dielectric properties are estimated from signals transmitted through the arm by ultra-wideband antennas placed in contact with the tissues. A causal relationship between weight loss due to water loss and dielectric permittivity is found in human simulation models. Little relationship is found with conductivity. The theoretical groundwork for hydration assessment with microwaves is developed through a model which relates changes in total body water content with changes in microwave properties at the extremities. This model could be useful for monitoring hydration in at-risk populations such as older adults and athletes.
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Take-Home Messages
- Microwave techniques may provide a convenient method of noninvasive hydration assessment due to the strong relationship between dielectric properties and water content in biological tissues.
- The feasibility of microwave hydration assessment is demonstrated through a physiologically-driven framework for modeling changes in microwave properties at the extremities during dehydration.
- Our target application is hydration assessment in athletes and older adults due to the elevated risk of dehydration from their activity, environment, and/or physiological changes.
- It is found that permittivity is a more sensitive metric than conductivity when assessing water-loss dehydration.
- The modeling techniques developed in this paper provide the framework for interpreting in vivo experimental measurements in the context of hydration assessment.
A Survey on Electromagnetic Risk Assessment and Evaluation Mechanism for Future Wireless Communication Systems
Muhammad Ali Jamshed, Fabien Heliot, Tim Brown.
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Similarly, the multiplication of future connected devices,e.g. internet of things(IoT)devices, will also contribute to an increase in EMF exposure. This paper provides a detailed survey relating to the potential health hazards linked with EMF exposure and the different metrics that are currently used for evaluating,limiting and mitigating the effects of this type of exposure on the general public. This paper also reviews the possible impacts of new wireless technologies on EMF exposure and proposes some novel research directions for updating the EMF exposure evaluation framework and addressing these impacts in future wireless communication systems. For instance, the impact of mmWave or massive-MIMO/beamforming on EMF exposure has yet to be fully understood and included in the exposure evaluation framework.
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Take-Home Messages
- This paper provides a detailed survey related to the possible health hazards linked with EMF exposure based on what empirical studies suggest and the different metrics that are currently used for evaluating, limiting and mitigating the effects of this type of exposure on the general public.
- Brain tumour is still the main cause of concerns, which may be related to the extensive use of wireless devices, even though the effects of EMF exposure is now being investigated in other parts of the body (e.g. eyes, reproductive system). Moreover, some studies advocate a modification of the guidelines to better take into account the duration of exposure (i.e. long-term exposure).
- Generic/composite metrics (based on existing metrics) have recently been designed to better evaluate the exposure of large geographical area. A generic metric for measuring the individual exposure would also be of interest.
- Key 5G enabling technologies, such as densification, massive MIMO, and mmWave, will surely have an impact on the ambient level of EMF exposure in the near future, but they will also provide new opportunities to reduce it, e.g. context-aware beamforming or low exposure spatial modulation schemes.
Sensitivity Analysis for Ultra-wideband 2-port Impedance Spectroscopy of a Live Cell
Xiao Ma ; Xiaotian Du, Lei Li, Hang Li, Xuanhong Cheng, James Hwang.
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The sensitivity analysis validated our previous empirical observation that the insertion loss of a series-trapped cell and the return loss of a shunt-trapped cell were most sensitive to the cell impedance. Additionally, the membrane resistance and cytoplasm capacitance were most sensitive to low- and high-frequency scattering parameters, respectively. In the future, the analysis can be used to optimize the test setup and protocol for fast, compact and label-free characterization of a cell at the subcelluar level.
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- Live cells were characterized individually in a fast, compact and label-free manner, and the dynamic range of the impedance spectroscopy was greatly increased by 2-port instead of 1-port measurements.
- A lumped equivalent circuit of nondispersive resistances and capacitances was found sufficient to explain the impedance spectrum of a cell between 9 kHz to 9 GHz, and the sensitivity of the cell impedance to microwave scattering (S) parameters was analyzed for the first time.
- The equivalent circuit parameters were found the most sensitive to the insertion loss of a series-trapped cell and the return loss of a shunt-trapped cell on the coplanar waveguide.
- The equivalent circuit parameters could be reliably extracted because low-frequency S-parameters were mainly governed by the membrane resistance, high-frequency S-parameters were mainly governed by the cytoplasm capacitance, and intermediate-frequency S-parameters were mainly governed by the membrane capacitance and cytoplasm resistance.
- The theory of ultrawideband impedance spectroscopy was carefully derived and documented for the first time.
Detection of Simulated Brain Strokes Using Microwave Tomography
Vanna Lisa Coli, Pierre-Henri Tournier, Victorita Dolean-Maini, Ibtissam El Kanfoud, Christian Pichot, Claire Migliaccio, Laure Blanc-Féraud.
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Recent studies in biomedical imaging have shown that strokes produce variations in the complex electric permittivity of brain tissues, which can be detected by means of microwave tomography. Here we present some synthetic results obtained with an experimental microwave tomography-based portable system for the early detection and monitoring of brain strokes. The determination of electric permittivity first requires the solution of a coupled forward-inverse problem. We make use of massive parallel computation from domain decomposition method and regularization techniques for optimization methods. Synthetic data are obtained with electromagnetic simulations corrupted by noise, which have been derived from measurements errors of the experimental imaging system. Results demonstrate the possibility to detect hemorrhagic strokes with microwave systems when applying the proposed reconstruction algorithm with edge preserving regularization.
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Take-Home Messages
- Brain strokes are one of the leading causes of disability and mortality in adults in developed countries. We investigate how microwave tomography reveals changes in the brain’ tissues and thereby enable to detect and identify the type of stroke.
- We demonstrate that hemorrhagic stroke can be automatically identified with microwave tomography.
- Because of portability and cost effectiveness, microwave imaging systems may significantly improve the medical care of cerebrovascular accidents.
- Stroke identification including images reconstruction and automatic detection lasts less than 5 minutes.
- We implement massive parallel computing to solve the electromagnetic inverse problem and to speed up the reconstruction process.
Low-Cost Ink-Jet Printed RFID Tag Antenna Design for Remote Healthcare Applications
Abubakar Sharif, Jun Ouyang, Yi Yan, Ali Raza, Muhammad Ali Imran, Qammer Hussain Abbasi.
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The tag antenna is exploited as a sensor by modifying its equivalent circuit to mitigate the effects of water, blood sample phantom, and the human body. As a result, the proposed RFID antenna features impedance match with Impinj R6 RFID chip from 880 MHz – 937 MHz with compact dimensions of 40 x 14 mm. Moreover, this tag has a read range of 3 m, 2.5 m and 1.5 m on the water bottle, intravenous (IV) solution and blood bag, respectively. However, the read range of RFID tag on an empty water bottle or IV solution bag is 0.5 m. By comparing the read range of tag on empty and solution filled IV bags, the proposed tag is used as a water proximity sensor. Experimental testing of the tag is performed for sensing the level of the IV solution. Also, this tag is tested by mounting on liquid mixture (a mixture of salt and sugar is used as a phantom to mimic the blood) filled plastic bags, which leads to a low-cost solution for blood storage management. Experimental results show a good agreement of proposed tag towards its use in healthcare applications, which leads to better healthcare facilitation regarding cost, time and care.
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Take-Home Messages
- We exploit a low-cost and inkjet printed UHF RFID tag as a sensor by modifying the equivalent circuit of the antenna to mitigate the effects of water, blood, and the human body.
- The targeted biological and medical applications are intravenous (IV) level sensing, blood storage management, and wound healing detection.
- The proposed RFID tag antenna features impedance match with Impinj R6 RFID from 890 MHz – 937 MHz and has a read range of 3 m, 2.5 m and 1.5 m on the surface of a water bottle, IV solution and blood bag, respectively.
- As compared with traditional designs, this tag antenna provides 26 % more read range with relatively small size 40 14 mm2 and has a specialty of water proximity sensing, leading to a compact and low-cost solution which is ideal for mass production.
- These features make this tag ideal for healthcare application in hospitals, which can add better facilitation for patient monitoring and also reduces the cost.
Quality Control of Microwave Equipment for Tissue Imaging
Daniel Tajik, Jessica Trac, Natalia Nikolova.
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Imaging systems are typically designed with a theoretical resolution limit in mind, which is rarely achieved in practice due to measurement uncertainties, background clutter and system noise. Uncertainties and background clutter are particularly prominent in medical diagnostic imaging. This manuscript proposes a method for data quality assessment of an experimental imaging system that aims at a specific image resolution. It utilizes two measurements, one of a uniform background medium and one of the same medium with a small scattering probe embedded within it. The probe’s size and permittivity reflect the desired application-specific resolution. The method extracts the system point-spread function (PSF) from the two measurements and computes the PSF contrast-to-noise ratio (CNR). A case study is presented, demonstrating the quality control protocol and its ability to identify data sets of inadequate quality and provide an evaluation metric. The protocol also highlights possible sources of error and enables data filtering that increases significantly the reconstructed image quality.
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- This proposed protocol evaluates the ability of a microwave imaging system to provide sufficient data quality.
- The protocol enables the identification of the system-specific resolution, which in practice is worse than the theoretical estimate.
- The approach is applicable to various biomedical microwave-imaging applications through modifications of the measured phantoms.
- The approach helps identify faults in the imaging setup and is suggestive of hardware modifications that remedy these faults.
- The flexibility of the protocol enables its application (with minor modifications) to any acquisition surface (e.g. planar, cylindrical, hemispherical antenna orientation).