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Design of sensor node platform for wireless biomedical sensor networks.

Chen Xijun1, Max -H Meng, Ren Hongliang

  • 1Chinese University of Hong Kong, Shatin, Hong Kong, China(e-mail: xjchen@ee.cuhk.edu.hk).

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
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We developed a low-cost, flexible sensor platform for wireless biomedical sensor networks (WBSN) enabling customized health monitoring. This ultra low-power design integrates essential components for efficient data collection and communication.

Area of Science:

  • Biomedical Engineering
  • Wireless Sensor Networks
  • Wearable Technology

Background:

  • Designing integrated, low-power sensor platforms for wireless biomedical sensor networks (WBSN) is challenging.
  • Existing solutions often lack flexibility, customization, and cost-effectiveness for widespread health monitoring.
  • Seamless integration of diverse physical sensors into a unified network remains a key hurdle.

Purpose of the Study:

  • To propose a novel, ultra low-power, flexible sensor node platform for WBSN applications.
  • To enable cost-effective, customizable, and energy-efficient health monitoring solutions.
  • To demonstrate the platform's versatility through an Electrocardiogram (ECG) sensor implementation.

Main Methods:

  • Development of a WBSN node featuring an ultra low-power microcontroller and an IEEE 802.15.4 compatible transceiver.

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  • Incorporation of a flexible expansion connector for easy integration of various physical sensors.
  • Case study implementation using an Electrocardiogram (ECG) sensor module.

    • Main Results:

    • A cost-effective, flexible, and customizable sensor platform was successfully designed.
    • The platform demonstrates energy-efficient computation and communication capabilities.
    • Successful integration and testing of an ECG sensor module validated the platform's functionality.

    Conclusions:

    • The proposed WBSN node platform offers a scalable and adaptable solution for diverse health monitoring needs.
    • This design facilitates easier adoption of new sensor generations and reduces transition costs.
    • The platform supports efficient, low-cost, and customized wireless biomedical sensing.