A 2D simple attenuation model for EM waves in human tissues: Comparison with a FDTD 3D simulator for UWB medical radar

Varotto, G.; Staderini, Enrico M.

doi:10.1109/icuwb.2008.4653401

Cited by 17 publications

(7 citation statements)

References 4 publications

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“…To assess the feasibility of detecting a volume of blood in the brain using radar, a simple 1D attenuation model was built. This numerical model was previously proposed [9] and validated [10] for UWB radar, and provides a useful tool to predict the total attenuation due to path loss and the resulting power of reflected EM waves.…”

Section: Numerical Modelmentioning

confidence: 99%

Functional neuroimaging using UWB impulse radar: A feasibility study

Lauteslager

Nicolaou

Lande

et al. 2015

2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)

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Abstract-Microwave imaging is a promising new modality for studying brain function. In the current paper we assess the feasibility of using a single chip implementation of an ultrawideband impulse radar for developing a portable and low-cost functional neuroimaging device. A numerical model is used to predict the level of attenuation that will occur when detecting a volume of blood in the cerebral cortex. A phantom liquid is made, to study the radar's performance at different attenuation levels. Although the radar is currently capable of detecting a point reflector in a phantom liquid with submillimeter accuracy and high temporal resolution, object detection at the desired level of attenuation remains a challenge.

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Section: Numerical Modelmentioning

confidence: 99%

Functional neuroimaging using UWB impulse radar: A feasibility study

Lauteslager

Nicolaou

Lande

et al. 2015

2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)

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“…In this study, we model the abdominal wall as a multilayer medium composed of homogenous slabs [24][25][26]. Figure 1(a) shows the multilayer structure of the abdominal wall and Figure 1(b) describes the propagation of waves in a lossy multilayer structure.…”

Section: Time-average Powermentioning

confidence: 99%

An Adaptive Path Loss Channel Model for Wave Propagation in Multilayer Transmission Medium

Ramezani¹,

Blanes-Vidal²,

Nadimi³

2015

PIER

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Abstract-Advances in micro robots in non-invasive medicine have enabled physicians to perform diagnostic and therapeutic procedures with higher resolution and lower risk than before. However, navigation and precise localisation of such micro robots inside human body still remains a challenge. This is mostly due to the 1) lack of precise communication channel models, 2) inhomogeneity of the propagation medium and 3) non-geometric boundaries of the tissues morphometric parameters. In this study, we derive novel intra-body path loss channel models for wave propagation in wireless capsule endoscopy, i.e., propagation through the gastrointestinal tract and the abdominal wall. We formulate an adaptive attenuation parameter as a function of permittivity, conductivity and the thickness of various layers between the transmitter and the receiver. The standard deviation of modelling error of the path loss using our adaptive channel model is smaller than 50% of that of existing channel models. We further analyse the sensitivity of the path loss model to the variations of thickness of different abdominal wall layers. We finally show that the thickness of the fat layer has the greatest influence on the total attenuation parameter of the path loss model and therefore, we modify our adaptive model accordingly.

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“…Plugging these values into (24) results in an accurate calculation of η l (C). This can then be used with (16) and (19) …”

Section: Source and Load Impedancementioning

confidence: 99%

“…Both papers presented models focused on UWB radar not implants. Unfortunately, the attenuation calculations in [15] did not take into account reflections between layers and while the work in [16] presented a few key components of an attenuation model, some of the important implementation aspects were not shown.…”

Section: Introductionmentioning

confidence: 99%

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Computationally Efficient Model for Uwb Signal Attenuation Due to Propagation in Tissue for Biomedical Implants

Theilmann¹,

Tassoudji²,

Teague³

et al. 2012

PIER B

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Abstract-An analytical model which predicts the attenuation of ultrawide-band (UWB) signals as they traverse various inhomogeneous tissues is presented. The model provides a computationally efficient method of determining the frequency-dependent losses encountered by electromagnetic radio frequency (RF) signals used to communicate with biomedical implants.Classic transmission line theory is employed to generate an analytical representation which models the inhomogeneous tissue using layers of homogeneous material. The proposed model was verified experimentally with tests of both single and multilayer samples. A realistic abdominal implant scenario was also modeled and the predictions were verified using a commercially available 3D electromagnetic (EM) simulator. The results of this study indicate that for deep implants the higher frequency portion of the UWB spectrum is attenuated much more strongly than the lower end of the band. This implies that for robust communication UWB signals targeting biomedical implants should be limited to the lower portion of the spectrum.

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A 2D simple attenuation model for EM waves in human tissues: Comparison with a FDTD 3D simulator for UWB medical radar

Cited by 17 publications

References 4 publications

Functional neuroimaging using UWB impulse radar: A feasibility study

Functional neuroimaging using UWB impulse radar: A feasibility study

An Adaptive Path Loss Channel Model for Wave Propagation in Multilayer Transmission Medium

Computationally Efficient Model for Uwb Signal Attenuation Due to Propagation in Tissue for Biomedical Implants

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