UWB signal propagation at the human head

Zasowski, T.; Meyer, Gabriel; Althaus, F.; Wittneben, A.

doi:10.1109/tmtt.2006.871989

Cited by 84 publications

(38 citation statements)

References 21 publications

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“…Furthermore, less path loss is observed in line of sight (LOS) communication as compared to non line of sight due to capability of body fluid to absorb waves [8]. Fast movement of human can also greatly affect the signal loss, by increasing movement and degree of movement, more signal loss occur [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Multi-Channel Framework for Body Area Network in Health Monitoring

Alrajeh¹,

Khan²,

Campbell³

et al. 2013

Appl. Math. Inf. Sci.

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Increasing use of wireless networks has empowered the facility of ubiquitous health monitoring especially in advanced countries. Various small devices are attached to human body forming personalized wireless body area network (WBAN). These small devices interact with each other using different radios and antennas schemes proposed by many researchers around the globe. However, most of these schemes are facing problem of inefficiency due to fading and shadowing effects. We propose a novel multi-radio multichannel framework for efficient communication among devices in WBAN. The focus of this research is to ensure energy efficient and reliable communication in WBAN.

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Section: Introductionmentioning

confidence: 99%

Multi-Channel Framework for Body Area Network in Health Monitoring

Alrajeh¹,

Khan²,

Campbell³

et al. 2013

Appl. Math. Inf. Sci.

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“…In this case, the signal propagates mainly as a creeping wave, [4], following the body surface and its shape beyond line-of-sight conditions. In [5], the UWB signal propagation at the human head is reported at a 1.5-8 GHz bandwidth. Analytical model and measurements are presented in [6] for a narrowband signal at 2.45 GHz around the head and waist.…”

Section: Introductionmentioning

confidence: 99%

Path loss modeling for UWB creeping waves around human body

Kumpuniemi

Hämäläinen

Mäkelä

et al. 2017

2017 11th International Symposium on Medical Information and Communication Technology (ISMICT)

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Abstract-This article presents path loss models for creeping waves propagation around a human body at ultra-wideband frequency of 2-8 GHz. The results are based on measurements in an anechoic chamber using a vector network analyzer. Three antenna types are used: prototype dipole and double loop antennas together with the commercial Skycross antenna. The antennas are attached horizontally at the chest level and the waist level at in total 12 locations. Path loss values are defined from the first arriving paths of the channel impulse responses. Path loss models are developed for upper and lower horizontal body levels separately and for all available channels when also the cross channels between the levels are considered. The path loss exponents vary between 9.2-12.7 being clearly a higher result than previously reported. The double loop antenna has the lowest exponents and the commercial antenna the highest ones. No clear difference can be noted between the body and waist levels or when observing all channels. The scattering term of the path loss can be modeled with the generalized extreme value and generalized Pareto distributions.

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“…To date many transmission models in the BAN UWB band have focused on wearable devices [8][9][10] as well as beamformers [11] and imagers [12], with only a few models targeting implant channels [3,13,14].…”

Section: Introductionmentioning

confidence: 99%

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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UWB signal propagation at the human head

Cited by 84 publications

References 21 publications

Multi-Channel Framework for Body Area Network in Health Monitoring

Multi-Channel Framework for Body Area Network in Health Monitoring

Path loss modeling for UWB creeping waves around human body

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

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