UWB for in-body medical implants: A viable option

Ghildiyal, Ashutosh; Amara, Karima; Molin, Renzo Dal; Godara, Balwant; Amara, Amara; Shevgaonkar, R. K.

doi:10.1109/icuwb.2010.5615732

Cited by 18 publications

(11 citation statements)

References 16 publications

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“…Moreover, it is recovered with a latex layer to avoid a short between the patch and the phantom. The in-body antenna was moved in steps of Δ Δy=Δ 1 cm x z   along X, Y and Z axis with a grid size of (Nx, Ny, Nz) = (12,11,2). Considering the fat layer to be the YZ plane and the center of the layer the reference position, the X axis moves closer or farther from the reference plane, the Y axis moves left or right and the Z axis moves up and down from the reference position.…”

Section: B Methodologymentioning

confidence: 99%

“…As already mentioned, only the measurements with power above the noise level are computed. The path loss obtained can be modeled as a distance-dependent logarithmic function (2), where the shadowing term is given by N(µ,), a normal distribution with standard deviation  = 2.307 and zero mean…”

Section: A Experimental Path Loss Modelsmentioning

confidence: 99%

“…Nevertheless, UWB frequency band is also growing the attention of the scientific community for in-body communications. The ultra-low power consumption, the high data rate and the small size of the antennas are desired characteristics for such implanted communications [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Initial UWB in-body channel characterization using a novel multilayer phantom measurement setup

Perez-Simbor

Barbi

Garcia-Pardo

et al. 2018

2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

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Wireless Body Area Networks (WBANs) are a promising technology for medical purposes. Currently the WBAN are classified into: implanted (in-), surface (on-) or outside (off-) body communications regarding the location of the devices with reference to the human body. The Ultra Wide-Band (UWB) frequency band is growing as a band of interest for implanted communications because of its high data rate and low power consumption among other benefits. Software simulations, in-vivo measurements and experimental phantom measurements are common methods to properly characterize the propagation channel. Nevertheless, up to now, experimental phantoms measurements presented in the literature show some inconveniences, i.e., the accuracy of the phantoms compared with the real human tissues or the testbed used for the measurements. This paper aims at overcoming these issues using accurate phantoms designed for the purpose of implanted communications in the UWB frequency band. In addition, a multilayer phantom container was developed. This container has capacity for two different phantoms, emulating a heterogeneous propagation medium for in-body measurements. Moreover, a novel setup was built for in-body phantom measurements. As a result, an experimental path loss model is presented from the measurements obtained with phantoms. Besides, software simulations mimicking the experimental setup are performed in order to validate the previous results obtained.

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Section: B Methodologymentioning

confidence: 99%

Section: A Experimental Path Loss Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Initial UWB in-body channel characterization using a novel multilayer phantom measurement setup

Perez-Simbor

Barbi

Garcia-Pardo

et al. 2018

2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

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show abstract

“…The 400 MHz band has been specially allocated for the implant to implant, implant to external and implant to body surface communications [3]. In several research papers the UWB band has also been suggested [18][19][20]. Narrowband 13.5, 50, 400, 600, 900 MHz and 2.4 GHz bands are suggested for body surface communications between non-implanted sensors.…”

Section: Body Area Networkmentioning

confidence: 99%

Hybrid Relaying in Ultra-wideband Body Area Networks

Rout

Das

2015

Wireless Pers Commun

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Body area networks (BAN) are a new variety of wireless sensor networks which are being developed to track patients' health. The 3.1-10.6 GHz ultra wideband band based BAN design has received huge commendation due to its capacity to provide high data rates and ability to carry medical signals of high bandwidth, on the sombre side however, its range is restricted in the human body channel. It requires novel techniques to improve the reliability and range. This paper proposes a novel approach to this problem. A solution using cooperative relaying has been proposed, that is not only unique, but also superior to classical cooperative relaying techniques. A cooperative relaying scheme employing hybrid relays, capable of a combination of 'Amplify and Forward' and 'Decode and Forward' relaying is used. In this method the signal to noise ratio, and mean square error, for electrocardiogram, blood pressure, electroencephalograms, and peak signal to noise ratio for magnetic resonance images, retinal and iris images, are measured at the relay and a decision is made to select relaying strategy. The work is unique in the aspect that, simulations have been performed and a comparative performance is presented, which suggests that SNR improvements of at least 3 dB, and quality of received medical signals is vastly enhanced.

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“…In the case of WBAN, this band was initially envisioned for wearables (on-body) devices [12]. Nonetheless, its multiple advantages, such as low power consumption and antenna miniaturization, have led it to be considered as a good candidate for in-body high data rate communications [24]- [27]. For example, cortical implants [27], and novel wireless capsule endoscope [28], have been addressed in the literature to benefit from this technology.…”

Section: Uwb Propagation Environment For Medicalmentioning

confidence: 99%

Ultrawideband Technology for Medical In-Body Sensor Networks: An Overview of the Human Body as a Propagation Medium, Phantoms, and Approaches for Propagation Analysis

Garcia-Pardo

Andreu

Fornés-Leal

et al. 2018

IEEE Antennas Propag. Mag.

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In-body sensor networks are those networks where at least one of the sensors is located inside the human body. Such wireless in-body sensors are mainly used for medical applications, collecting and monitoring important parameters for health and diseases treatment. The IEEE Standard 802.15.6-2012 for Wireless Body Area Networks (WBAN) considers in-body communications in the Medical Implant Communication Service (MICS) band. Nevertheless, high data rate communications are not feasible at the MICS band due to its narrow occupied bandwidth. In this framework, Ultra-Wideband (UWB) systems have emerged as a potential solution for in-body high data rate communications, due to its miniaturization capabilities or low power consumption. In the last years, some open issues have determined the research about in-body propagation. Firstly, the propagation medium, i.e., the human body tissues, is frequencydependent and exhibits a large attenuation at UWB frequencies. Secondly, the behavior of the in-body antennas is highly dominated by the surrounding tissues. Thus, the in-body channel characterization in UWB depends not only on the channel behavior itself, but also on the methodology of characterization. This paper intends to outline the research performed in the field of UWB in-body radio channel characterization considering the propagation medium, as well as the methodology of analysissoftware simulations, phantom measurements, in vivo measurements-. Thus, authors provide an overall perspective of the current state of the art, limitations for the analysis of in-body propagation, and future perspectives for UWB in-body channel analysis.

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UWB for in-body medical implants: A viable option

Cited by 18 publications

References 16 publications

Initial UWB in-body channel characterization using a novel multilayer phantom measurement setup

Initial UWB in-body channel characterization using a novel multilayer phantom measurement setup

Hybrid Relaying in Ultra-wideband Body Area Networks

Ultrawideband Technology for Medical In-Body Sensor Networks: An Overview of the Human Body as a Propagation Medium, Phantoms, and Approaches for Propagation Analysis

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