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Related Experiment Videos

Grid-enabled biosensor networks for pervasive healthcare.

I Chouvarda1, V Koutkias, A Malousi

  • 1Lab of Medical Informatics, Aristotle University of Thessaloniki, Greece.

Studies in Health Technology and Informatics
|June 1, 2005
PubMed
Summary

This study introduces a novel architecture for integrating biosensors into a Grid infrastructure, enabling pervasive healthcare. This system allows continuous biosignal monitoring and data sharing for improved remote patient care.

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Computer Science

Background:

  • Advancements in miniaturized and textile biosensors enable continuous monitoring of vital signs like blood pressure and heart rate.
  • Emerging applications leverage these biosensor systems for pervasive healthcare, requiring robust data integration and management.

Purpose of the Study:

  • To describe an architecture for integrating biosensors, forming a Body Area Network (BAN), into a Grid infrastructure.
  • To facilitate seamless data access and alert mechanisms for medical professionals within a distributed healthcare environment.

Main Methods:

  • Development of a Grid-enabled architecture for Body Area Networks (BANs).
  • Integration of multiple biosensors via a BAN console, an enhanced wearable computer.

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  • Implementation of Grid services for data access and real-time notifications.
  • Main Results:

    • Demonstration of an architecture enabling biosensor integration within a Grid infrastructure.
    • Establishment of a BAN console for consolidating and managing biosensor data.
    • Facilitation of on-demand data access and alert notifications for medical nodes.

    Conclusions:

    • The proposed architecture supports unobtrusive cooperation between independent data and computational resources.
    • This integration contributes significantly to the realization of pervasive healthcare through advanced biosensor networks.
    • The system enhances remote patient monitoring and facilitates timely medical interventions.