• DocumentCode
    1361621
  • Title

    Bluetooth-Based Sensor Networks for Remotely Monitoring the Physiological Signals of a Patient

  • Author

    Zhang, Ying ; Xiao, Hannan

  • Author_Institution
    Eng. Dept., Univ. of Cambridge, Cambridge, UK
  • Volume
    13
  • Issue
    6
  • fYear
    2009
  • Firstpage
    1040
  • Lastpage
    1048
  • Abstract
    Integrating intelligent medical microsensors into a wireless communication network makes it possible to remotely collect physiological signals of a patient, release the patient from being tethered to monitoring medical instrumentations, and facilitate the patient´s early hospital discharge. This can further improve life quality by providing continuous observation without the need of disrupting the patient´s normal life, thus reducing the risk of infection significantly, and decreasing the cost of the hospital and the patient. This paper discusses the implementation issues, and describes the overall system architecture of our developed Bluetooth sensor network for patient monitoring and the corresponding heart activity sensors. It also presents our approach to developing the intelligent physiological sensor nodes involving integration of Bluetooth radio technology, hardware and software organization, and our solutions for onboard signal processing.
  • Keywords
    Bluetooth; biomedical telemetry; cardiology; medical signal detection; wireless sensor networks; Bluetooth-based sensor networks; heart activity sensors; infection; intelligent medical microsensors; onboard signal processing; patient monitoring; physiological sensor nodes; physiological signal remotely monitoring; wireless communication network; Bluetooth; healthcare; physiological signals; wireless sensor network; Computer Communication Networks; Humans; Monitoring, Physiologic; Signal Processing, Computer-Assisted; Software; Telemedicine; Telemetry;
  • fLanguage
    English
  • Journal_Title
    Information Technology in Biomedicine, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-7771
  • Type

    jour

  • DOI
    10.1109/TITB.2009.2028883
  • Filename
    5229325