An RCL sensor for measuring dielectrically lossy materials in the MHz frequency range - 1. Comparison of hydrogel model simulation with actual hydrogel impedance measurements

Talary, Mark S.; Dewarrat, F.; Caduff, Andreas; Puzenko, Alexander; Ryabov, Yu. V.; Feldman, Yuri

doi:10.1109/tdei.2006.1624269

Cited by 15 publications

(12 citation statements)

References 7 publications

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“…Commercially available finite element field analysis software (FEMLAB -Comsol) was used [7] to model the interaction of the electromagnetic fields with a multilayer representation of the skin and underlying tissue comprising, in the current advanced simulations, a sebum, stratum corneum, epidermis, dermis, fat and muscle layer. These simulations were compared with the experimental results of the differential sensor measurements to help elucidate the biophysical changes of the dielectric properties of the multilayer system.…”

Section: Resultsmentioning

confidence: 99%

In vivo life sign application of dielectric spectroscopy and non-invasive glucose monitoring

Talary

Dewarrat

Huber

et al. 2007

Journal of Non-Crystalline Solids

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Section: Resultsmentioning

confidence: 99%

In vivo life sign application of dielectric spectroscopy and non-invasive glucose monitoring

Talary

Dewarrat

Huber

et al. 2007

Journal of Non-Crystalline Solids

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“…The multisensor concept has shown to allow the possibility to account for and compensate identified perturbing effects. This indicates that further quantitative and qualitative analysis of the interaction of EMF with specific tissue layers will help in the characterisation of changes in the dielectric properties of biological systems [8]. This can help to further advance improvements in approaches for the development of non-invasive continuous glucose monitoring technologies based on impedance spectroscopy.…”

Section: Discussionmentioning

confidence: 96%

Multisensor Concept for non-invasive Physiological Monitoring

Caduff

Donath²,

Talary

et al. 2007

2007 IEEE Instrumentation &Amp; Measurement Technology Conference IMTC 2007

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Numerous reports describe the use of non invasive glucose monitoring techniques, mostly in an in-vitro setting or under controlled in-vivo conditions f1], f2]. Impedance Spectroscopy (IS)is an example of such a technique that has been used to monitor changes in the glucose level caused by alterations in the electrolyte balance in skin and underlying tissue. The resulting changes in AC and DC conductivity can be analyzed using IS. However, it has been shown that additional external or physiological factors can also affect the measurement. In our previous work, various potentially perturbing parameters have been investigated, such as blood flux, the impact of environmental and body temperature changes and the effect of different arm positions f3], f4]. Here we report on two experimental clinical trials (part 1 andpart 2) which were set up to further investigate these perturbations and parasitic effects (e.g. temperature, attachment, moisture and perfusion of blood in the tissue).

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“…[23][24][25] The kHz sensor (indicated as "sweat sensor" in Figure 1a) employs interdigitated contact electrodes. GHz measurements are performed at 2 frequencies using 2 grounded coplanar waveguides with different ground-to-signal distances to measure at different depths.…”

Section: Multisensor Systemmentioning

confidence: 99%

The Effect of a Global, Subject, and Device-Specific Model on a Noninvasive Glucose Monitoring Multisensor System

Caduff¹,

Zanon²,

Mueller³

et al. 2015

J Diabetes Sci Technol

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Background: We study here the influence of different patients and the influence of different devices with the same patients on the signals and modeling of data from measurements from a noninvasive Multisensor glucose monitoring system in patients with type 1 diabetes. The Multisensor includes several sensors for biophysical monitoring of skin and underlying tissue integrated on a single substrate. Method: Two Multisensors were worn simultaneously, 1 on the upper left and 1 on the upper right arm by 4 patients during 16 study visits. Glucose was administered orally to induce 2 consecutive hyperglycemic excursions. For the analysis, global (valid for a population of patients), personal (tailored to a specific patient), and device-specific multiple linear regression models were derived. Results: We find that adjustments of the model to the patients improves the performance of the glucose estimation with an MARD of 17.8% for personalized model versus a MARD of 21.1% for the global model. At the same time the effect of the measurement side is negligible. The device can equally well measure on the left or right arm. We also see that devices are equal in the linear modeling. Thus hardware calibration of the sensors is seen to be sufficient to eliminate interdevice differences in the measured signals. Conclusions: We demonstrate that the hardware of the 2 devices worn on the left and right arms are consistent yielding similar measured signals and thus glucose estimation results with a global model. The 2 devices also return similar values of glucose errors. These errors are mainly due to nonstationarities in the measured signals that are not solved by the linear model, thus suggesting for more sophisticated modeling approaches.

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An RCL sensor for measuring dielectrically lossy materials in the MHz frequency range - 1. Comparison of hydrogel model simulation with actual hydrogel impedance measurements

Cited by 15 publications

References 7 publications

In vivo life sign application of dielectric spectroscopy and non-invasive glucose monitoring

In vivo life sign application of dielectric spectroscopy and non-invasive glucose monitoring

Multisensor Concept for non-invasive Physiological Monitoring

The Effect of a Global, Subject, and Device-Specific Model on a Noninvasive Glucose Monitoring Multisensor System

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