• DocumentCode
    582244
  • Title

    Independence verification for reference signal under neck of human body in EEG recordings

  • Author

    Hu, Sanqing ; Cao, Yu ; Chen, Shihui ; Kong, Wanzeng ; Zhang, Jianhai ; Li, Xun ; Zhang, Yanbin

  • Author_Institution
    Coll. of Comput. Sci., Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    4038
  • Lastpage
    4043
  • Abstract
    In our previous work [8] we proposed two methods to identify the reference electrode signal under the key assumption that the reference signal is independent from EEG sources. Although this assumption is shown to be possibly true for intracranial EEG with a scalp reference. However, this assumption may not be true for scalp sources with a scalp reference electrode. As such, this limits the application of our methods to the vast majority of scalp EEG with cephalic reference. In this paper, we conduct analysis for five reference electrode locations of one subject: left thumb, left arm, left shoulder, left chest and left back. Since these locations are far away from the head of the subject, the real reference signal from these locations should be independent from all the scalp sources. As such, the second method in [8] should be able to be applied to identify the reference signal well. Our simulation results demonstrate that the corrected EEG after removing the obtained reference signal involves much more brain neural activities for anyone of these five reference locations than the corrected EEG after removing the average reference (AR), and the dominated periodical ECG artifacts in original EEG are completely removed out. This fact actually provides a strong evidence to support the above assumption of independence. The results in this paper suggest that rather rod reference sites such as hand, shoulder, chest, back, etc., indeed turn out to be much better than commonly suggested.
  • Keywords
    biomedical electrodes; electroencephalography; medical signal processing; EEG recordings; EEG sources; average reference; brain neural activities; cephalic reference; chest; dominated periodical ECG artifacts; hand; human body; independence verification; neck; reference signal; scalp reference electrode; shoulder; Brain modeling; Electric potential; Electrocardiography; Electrodes; Electroencephalography; Muscles; Scalp; Average Reference; EEG; Independence; Reference Signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390634