• DocumentCode
    232237
  • Title

    A feasibility study on a single-unit wireless EEG sensor

  • Author

    Bo Luan ; Wenyan Jia ; Thirumala, Parthasarathy D. ; Balzer, Jeffrey ; Di Gao ; Mingui Sun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    2282
  • Lastpage
    2285
  • Abstract
    The electroencephalography (EEG) is a widely used diagnostic tool for a number of clinical applications, such as diagnosis of epilepsy and study of sleep. Traditionally, to acquire a single channel of EEG signal, at least three electrodes must be installed on the skin separated at certain distances. They must also be connected to an amplifier by electrode leads. These basic requirements are acceptable in most clinical laboratories, but are unacceptable in certain point-of-care applications, such as during patient transportation. In order to remove these requirements, we are designing a single-unit EEG sensor in the size of a U.S. penny. It contains multiple closely spaced dry electrodes that can hook onto the skin, an electronic circuitry for signal amplification, digitization and wireless transmission, and a battery providing power. In this paper, we answer two key questions regarding the feasibility of the single-unit design: 1) can the closely-spaced electrodes obtain EEG signal reliably? and 2) will the electrodes orientated in certain ways improve signal quality? We conducted experiments utilizing closely spaced electrodes to record the alpha wave in the EEG. Our results have shown positive answers to the two feasibility questions.
  • Keywords
    biomedical electrodes; electroencephalography; skin; diagnostic tool; digitization; dry electrodes; electroencephalography; epilepsy; patient transportation; point-of-care applications; signal amplification; single unit wireless EEG sensor; skin; sleep; wireless transmission; Analysis of variance; Electrodes; Electroencephalography; Scalp; Skin; Wireless communication; Wireless sensor networks; Alpha rhythm; Analysis of variance (ANOVA); Electroencephalography (EEG); Single-unit EEG sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015401
  • Filename
    7015401