• DocumentCode
    2578533
  • Title

    The design of wireless sleep EEG measurement system with asynchronous pervasive sensing

  • Author

    Wu, Ming-Feng ; Wen, Chih-Yu

  • Author_Institution
    Div. of Chest Med., Taichung Veterans Gen. Hosp., Taichung, Taiwan
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    714
  • Lastpage
    721
  • Abstract
    The Electroencephalogram (EEG) signals reflect local potential changes that occur on pyramidal cell. Based on the received signals, epileptic seizure and sleep patterns can be monitored and diagnosed. This paper proposes an asynchronous pervasive sensing method using cooperative communication and networking between a pair of sensors for wireless sleep EEG signal collection. A theoretical analysis and experiments are developed to assess the impact of time synchronization errors and the performance of the proposed approach, which may provide a sensible way for practical system design.
  • Keywords
    bioelectric potentials; cellular biophysics; electroencephalography; medical disorders; medical signal detection; medical signal processing; neurophysiology; sleep; wireless sensor networks; asynchronous pervasive sensing algorithm; bio-potential signals; electroencephalogram; epileptic seizure; pyramidal cell; received signals; signal detection; sleep pattern monitoring; theoretical analysis; wireless sensor nodes; wireless sleep EEG measurement system; wireless sleep EEG signal collection; Calibration; Electrodes; Electroencephalography; Epilepsy; Frequency synchronization; Monitoring; Sensor systems; Sleep; Wire; Wireless sensor networks; sleep EEG system; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346719
  • Filename
    5346719