• DocumentCode
    464472
  • Title

    ICA-Based Blind Source Separation (BSS) Recovery of the Pattern Electroretinogram (PERG) from Single Channel Records with Poor SNR

  • Author

    Fisher, A.C. ; Hagan, R.P. ; Brown, M.C. ; El-Deredy, W. ; Lisboa, P.J.G.

  • Author_Institution
    Dept. of Clinical Engineering, The Clinical Eye Research Centre, Royal Liverpool Univ. Hospital, UK. a.c.fisher@liv.ac.uk
  • fYear
    2006
  • fDate
    17-19 July 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A method of signal recovery of the pattern electroretinogram (PERG) from recordings contaminated with electrical artefacts resulting from eye movements and blinks is described. The single channel data are decomposed into statistically-independent components using the jadeR ICA algorithm preceded by a dynamical embedding matrix with dimensions dictated by the stimulus rate and sampling frequency. The PERG signal of interest is identified and scaled using a marker feature incorporated into the original record. The performance for artificial and real clinical data is presented.
  • Keywords
    BSS; ICA; PERG; electroretinogram; independent component analysis; signal-recovery;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On
  • Conference_Location
    Glasgow, UK
  • Print_ISBN
    978-0-86341-658-3
  • Type

    conf

  • Filename
    4225237
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=464472