• DocumentCode
    1284050
  • Title

    Technique for Interference Reduction in Battery Powered Physiological Monitoring Devices

  • Author

    Aguilar-Pelaez, E. ; Chen, G. ; Rodriguez-Villegas, E.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • Volume
    59
  • Issue
    11
  • fYear
    2012
  • Firstpage
    3197
  • Lastpage
    3203
  • Abstract
    This paper presents a novel simple method to identify and remove systematic interference in battery powered physiological monitoring devices. This interference is very typically introduced via fluctuations in the power supply voltage, caused by the nonideal output resistance of small batteries, when a transceiver chip changes operating modes. The proposed method is designed to have low computational complexity in order to potentially allow for low cost, real-time implementations on low-power-based platforms, either in the system front or back end. Additionally, the paper provides guidelines on how to choose some of the operating conditions of the transceiver in order to minimize the effect of the interference through the application of the proposed method. Overall, successful performance is illustrated with experimental results obtained from an acoustic monitoring system, since this is considered to have specifications which are representative of most physiological monitoring devices.
  • Keywords
    acoustic signal processing; biomedical equipment; body area networks; fluctuations; medical signal processing; patient monitoring; transceivers; wireless sensor networks; acoustic monitoring system; battery powered physiological monitoring devices; computational complexity; fluctuations; health care systems; interference reduction technique; low-power-based platforms; nonideal output resistance; power supply voltage; real-time implementation; transceiver chip; Batteries; Biomedical monitoring; Interference; Monitoring; Power supplies; Transceivers; Transmitters; Body area network; healthcare systems; interference cancellation; low power; physiological monitoring; wireless; Algorithms; Electric Power Supplies; Electronics, Medical; Local Area Networks; Models, Theoretical; Monitoring, Physiologic;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2012.2218600
  • Filename
    6301684