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Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...

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Related Experiment Video

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Autonomous and Rechargeable Microneurostimulator Endoscopically Implantable into the Submucosa
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Developing a wireless implantable body sensor network in MICS band.

Qiang Fang1, Shuenn-Yuh Lee, Hans Permana

  • 1School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University, Melbourne, Vic. 3000, Australia. john.fang@rmit.edu.au

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|May 17, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel wireless implantable body sensor network (BSN) for closed-loop physiological monitoring and drug delivery. It addresses challenges in implantable BSNs using ultralow-power MICS technology and ensures safety through specific absorption rate simulations.

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Area of Science:

  • Biomedical Engineering
  • Wireless Communication
  • Implantable Medical Devices

Background:

  • Body Sensor Networks (BSN) are crucial for remote health monitoring, especially for elderly and chronic patients.
  • Implantable BSN development lags due to complexity, safety, and ultralow-power transceiver challenges.
  • Existing BSNs primarily focus on external monitoring, limiting applications for critical care.

Purpose of the Study:

  • To present a novel wireless implantable BSN for closed-loop physiological monitoring and drug delivery.
  • To overcome technological bottlenecks in implantable BSNs, particularly ultralow-power RF transceivers.
  • To ensure the safety and efficacy of implantable BSNs through electromagnetic field analysis.

Main Methods:

  • Design of an integrated sensing and actuation node system-on-chip (SoC).
  • Utilization of an ultralow-power Zarlink MICS transceiver for wireless data transmission.
  • Simulation of specific absorption rate (SAR) distribution for in vivo safety assessment.

Main Results:

  • Successful integration of sensing and actuation nodes for a closed-control loop system.
  • Demonstration of wireless data transmission using ultralow-power MICS technology.
  • Determination of in vivo electromagnetic field absorption and power safety limits via SAR simulations.

Conclusions:

  • The developed wireless implantable BSN offers a promising solution for advanced patient monitoring and treatment.
  • The system's closed-loop design enhances therapeutic interventions for critically ill patients.
  • The safety analysis confirms the system's viability for in vivo application within established power limits.