In Vitro and In Vivo Operation of a Wireless Body Sensor Node

Merli, F.; Bolomey, L.; Gorostidi, François; Barrandon, Yann; Meurville, Eric; Skrivervik, Anja K.

doi:10.1007/978-3-642-29734-2_15

Cited by 7 publications

(5 citation statements)

References 17 publications

(11 reference statements)

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“…Specifically in the field of IIMDs, energy consumption estimation and accurate measurement are critical in defining the medical device lifetime. Merli et al [27] suggest that energy signature of IIMDs subsystems plays key role in defining the most energy hungry subsystems. In their implementation, an implantable medical device that monitors temperature, equipped with Zarlink RF transceiver [9] and Digital Signal Processing unit, the energy consumed in radio communication subsystem is the 92% of the total energy consumed on the IIMD.…”

Section: Related Work On Energy Consumption Issuementioning

confidence: 99%

A Framework for the Estimation and Validation of Energy Consumption in Wireless Sensor Networks

Karagiannis

Vouyioukas

2015

Journal of Sensors

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Body sensor networks and implantable and ingestible medical devices energy efficiency is a substantial key factor in network lifetime and functionality. This work confronts the nodes’ energy problem by establishing a unified energy consumption framework comprised of theoretical model, energy simulator model, and electronic metering modules that can be attached to the nodes. A theoretical analysis, a simulation procedure, and the design and development of three prototype electronic metering modules are presented in this paper. We discuss the accuracy of the proposed techniques, towards a unified framework for the aprioriestimation of the energy consumption in commercial sensor nodes, taking into account the application functionality and the energy properties of the incorporated electronics. Moreover, body network nodes are considered for the application and the measurements of the proposed framework.

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Section: Related Work On Energy Consumption Issuementioning

confidence: 99%

A Framework for the Estimation and Validation of Energy Consumption in Wireless Sensor Networks

Karagiannis

Vouyioukas

2015

Journal of Sensors

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“…The telemetry system is based on an implantable Body Sensor Node (BSN) for rheology monitoring, which architecture has been already described in [3], [16], [17].…”

Section: B Implantable Body Sensor Nodementioning

confidence: 99%

Remote System for Monitoring Animal Models With Single-Metabolite Bio-Nano-Sensors

et al. 2013

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Abstract-A novel system for remote monitoring of metabolism in an animal model is proposed in this paper. The system is obtained by integrating bio-nano-sensors to detect singlemetabolites, an electrochemical front-end made with off-the-shelf components, a radio frequency communication sub-system, and an antenna of new design. The system has been calibrated and tested for continuous monitoring of four different metabolites: glucose, lactate, glutamate, and adenosine triphosphate. Tests using animal models (mice) have been conducted to investigate tissue inflammation induced by the implanted bio-nano-sensors. These tests confirm that our system is suitable and reliable for remote monitoring of single-metabolites in experiments with animal models.

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“…2. Multilayered Spiral Antenna integrated in a complete Body Sensor Node [9], [10]. For a better visualization, PEEK insulation is substituted by Polymethyl methacrylate (PMMA).…”

Section: Description Of the Implantable Modulementioning

confidence: 99%

“…That corresponds to a life time of 273 days with our 4 coins batteries. Table I summarizes the power parameters measured during the in-vitro measurement campaign described in [10]. The invivo experiment considered the same setup exception made for the different BSN antenna gain when implanted into the pig, and the BS arrangement and antennas described in the following Section.…”

Section: Description Of the Implantable Modulementioning

confidence: 99%