• DocumentCode
    1415151
  • Title

    Low-power wireless sensor nodes for ubiquitous long-term biomedical signal monitoring

  • Author

    Bachmann, Christian ; Ashouei, Maryam ; Pop, Valer ; Vidojkovic, Maja ; Groot, H.D. ; Gyselinckx, Bert

  • Author_Institution
    Holst Centre/imec, Eindhoven, Netherlands
  • Volume
    50
  • Issue
    1
  • fYear
    2012
  • fDate
    1/1/2012 12:00:00 AM
  • Firstpage
    20
  • Lastpage
    27
  • Abstract
    In the past few years, the use of wireless sensor nodes for remote health care monitoring has been advocated as an attractive alternative to the traditional hospital-centric health care system from both the economic perspective and the patient comfort viewpoint. The semiconductor industry plays a crucial role in making the changes in the health care system a reality. User acceptance of remote health monitoring systems depends on their comfort level, among other factors. The comfort level directly translates to the form factor, which is ultimately defined by the battery size and system power consumption. This article introduces low-power wireless sensor nodes for biomedical applications that are capable of operating autonomously or on very small batteries. In particular, we take a closer look at component-level power optimizations for the radio and the digital signal processing core as well as the trade-off between radio power consumption and on-node processing. We also provide a system-level model for WSNs that helps in guiding the power optimization process with respect to various trade-offs.
  • Keywords
    health care; optimisation; patient monitoring; signal processing; wireless sensor networks; biomedical applications; component-level power optimization; digital signal processing; hospital-centric health care system; low-power wireless sensor nodes; patient comfort; radio power consumption; remote health care monitoring; remote health monitoring systems; semiconductor industry; ubiquitous long-term biomedical signal monitoring; user acceptance; Biomedical monitoring; Digital signal processing; Electrocardiography; Medical services; Power demand; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2012.6122528
  • Filename
    6122528