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A smart modules network for real time data acquisition: application to biomedical research.

R Logier1, J De jonckheere, A Dassonneville

  • 1INSERM CIC-IT 807, CHRU de Lille, 59037 Lille Cedex, France.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
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This study introduces a smart hardware network for real-time biomedical data acquisition. The toolkit efficiently centralizes and synchronizes diverse physiological signals from various devices for research.

Area of Science:

  • Biomedical Engineering
  • Physiological Monitoring

Background:

  • Healthcare monitoring necessitates the analysis of multiple physiological data streams.
  • Integrating data from diverse biomedical devices presents centralization and synchronization challenges.

Purpose of the Study:

  • To present a smart hardware modules network for real-time acquisition of biomedical data.
  • To address the difficulties in data centralization and synchronization for physiological parameters.

Main Methods:

  • Development of a toolkit comprising multiple electronic hardware modules.
  • Implementation of a network for acquiring and transmitting various biomedical signals and parameters.

Main Results:

  • The hardware modules enable efficient real-time acquisition of biomedical data.

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  • The system facilitates the integration of diverse physiological signals.

    • Conclusions:

    • The developed smart hardware network effectively overcomes data acquisition and synchronization challenges in biomedical research.
    • These highly efficient modules are validated for use in clinical investigations and biomedical studies.