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The power-efficient biomedical acquisition system by variable-resolution sigma-delta modulator.

Chen-Ming Hsu1, Wei-Song Wang, Ching Hsing Luo

  • 1Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, 701.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 16, 2007
PubMed
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This study introduces a novel biomedical acquisition system with adjustable resolution, significantly reducing power consumption for electrocardiogram and electroculogram monitoring. The system achieves accurate data acquisition efficiently.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Low-Power Electronics

Background:

  • Conventional biomedical acquisition systems often lack adaptability in resolution, leading to suboptimal power usage.
  • Accurate physiological signal monitoring requires systems that can dynamically adjust to varying signal conditions.
  • Power consumption remains a critical challenge in portable and implantable biomedical devices.

Purpose of the Study:

  • To present a novel biomedical acquisition system with adaptive resolution capabilities.
  • To demonstrate significant power savings in physiological signal acquisition.
  • To achieve high-fidelity data capture without increased energy expenditure.

Main Methods:

  • Development of a sigma-delta modulator with switchable architecture and sampling rate.

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Dual Raster-Scanning Photoacoustic Small-Animal Imager for Vascular Visualization
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Published on: July 15, 2020

  • Implementation of automatic resolution adjustment based on signal conditions.
  • Testing the system for electrocardiogram and electroculogram data acquisition.
  • Main Results:

    • The proposed system achieves adaptive resolution from 10-bit to 16-bit.
    • Power consumption ranges from 48 microW to 360 microW.
    • Demonstrated over 40% power savings for electrocardiogram and 73% for electroculogram compared to conventional systems.

    Conclusions:

    • The novel adaptive resolution biomedical acquisition system offers efficient and accurate physiological monitoring.
    • Significant power reduction is achieved, enhancing the suitability for long-term monitoring applications.
    • The system's dynamic adjustability provides a versatile solution for diverse biomedical data acquisition needs.