• DocumentCode
    2476410
  • Title

    Improving the signal to noise ratio of event-related EEG signals in high risk newborns

  • Author

    Falkner, Timothy ; Abedi, Ali ; Hayes, Marie ; Paul, Jonathan

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Maine, Orono, ME, USA
  • fYear
    2010
  • fDate
    12-14 May 2010
  • Firstpage
    28
  • Lastpage
    31
  • Abstract
    A soft thresholding technique is used in an attempt to improve the accuracy of signals with low signal-to-noise ratios (SNR). Focusing initially on EEG signals from high-risk infants, the technique has provided us with valuable information on the nature of the signal to improve estimation methods for this type of data.
  • Keywords
    electroencephalography; medical signal processing; paediatrics; event-related EEG signals; high risk newborns; high-risk infants; signal-to-noise ratios; soft thresholding technique; Astrophysics; Biomedical measurements; Electroencephalography; Enterprise resource planning; Extraterrestrial measurements; Pediatrics; Scalp; Signal processing; Signal to noise ratio; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (QBSC), 2010 25th Biennial Symposium on
  • Conference_Location
    Kingston, ON
  • Print_ISBN
    978-1-4244-5709-0
  • Type

    conf

  • DOI
    10.1109/BSC.2010.5473008
  • Filename
    5473008
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2476410