| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Bialkowski, Konstanty
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2022Mathematical model of common-mode sources in long-cable-fed adjustable speed drivescitations
- 2021Multiple open ended probe for spatio-temporal dielectric spectroscopy: application to evaporative dewateringcitations
- 2020Implantable sensor for detecting changes in the loss tangent of cerebrospinal fluidcitations
- 2019Wearable electromagnetic head imaging using magnetic-based antenna arrayscitations
- 2019Compact implantable antennas for the cerebrospinal fluid monitoringcitations
- 2018Fabrication and characterization of flexible polymer iron oxide composite substrate for the imaging antennas of wearable head imaging systemscitations
- 2018Flexible antenna on high permeability substrate for electromagnetic head imaging systemscitations
- 2017Closed-form equation to estimate the dielectric properties of biological tissues as a function of agecitations
- 2017Miniaturizing electromagnetic invisibility cloaks using double near zero slabs
- 2017Skin tissue characterization of canine at microwave and millimeter-wave frequencies
- 2017Concealment with near-zero materials and their sensitivity to non-zero material parameters
- 2017Size reduction of electromagnetic devices using double near zero materialscitations
- 2017Half-sized cylindrical invisibility cloaks using double near zero slabs with realistic material size and propertiescitations
- 2016Design and experimental evaluation of a non-invasive microwave head imaging system for intracranial haemorrhage detectioncitations
- 2014Convex optimization approach for stroke detection in microwave head imagingcitations
- 2006Design of complementary UWB printed monopole antennas using simple formulascitations
Places of action
| Organizations | Location | People |
|---|
article
Implantable sensor for detecting changes in the loss tangent of cerebrospinal fluid
Abstract
The increasing utilization of cerebrospinal fluid (CSF) in early detection of Alzheimer's disease (AD) is attributed to the change of Amyloid-β proteins. Since, the brain is suspended in CSF, changes of Amyloid-β proteins in CSF reflect a pathophysiological variation of the brain due to AD. However, the correlation between Amyloid-β proteins and the dielectric properties (DPs) of CSF is still an open question. This paper reports the characterized DPs of CSF collected from canines using lumbar punctures. The CSF samples from canines show a strong correlation with respect to human in terms of the loss tangent, which indicates suitability of using canines as translational primates. Amyloid-β [Aβ(1-40) and Aβ(1-42)] proteins associated with AD were added to CSF samples in order to emulate AD condition. The results of emulated AD condition suggest a decrease in the relative permittivity and increase in the loss tangent. To detect changes in the loss tangent of CSF, which combines both relative permittivity and conductivity, a developed sensor is proposed. The designed sensor consists of a voltage controlled oscillator (VCO) and implantable antenna, which exhibits a wideband and low quality factor to be stable with respect to changes in the loss tangent of CSF. The measurements of the received power level from the sensor in different liquid-based phantoms having different loss tangent values were used to correlate changes in the loss tangent. The developed correlation model is able to predict the loss tangent due to AD in CSF based on the received power level.