• DocumentCode
    829164
  • Title

    Predicting distributed retinal source activity from ERG data. II. Multiple stimulus approach

  • Author

    Davey, Kent R. ; Thompson, Barrett ; Wang, Shimin ; Koblasz, Art ; Nation, Bill

  • Author_Institution
    Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    35
  • Issue
    11
  • fYear
    1988
  • Firstpage
    948
  • Lastpage
    952
  • Abstract
    For pt.I see ibid., vol.35, no.11, p.941-7 (1988). The objective of this research is the noninvasive prediction of retinal cell activity; more specifically, the goal is to assess the healthiness of discrete regions of the retina. The authors describe a multiple-stimulus approach which involves a single-potential measurement of the cornea as is commonly done clinically at present, but which multiple-flash stimuli. The technique is ultimately dependent on the patient´s ability to focus on the external flash stimulus pattern. The individual components of the ERG (electroretinogram), which are directly associated with specific parts of the stimulus pattern (and thus, localized regions on the retina), are stripped off of the composite ERG using signal-correlation techniques. At the heart of this approach is the requirement that the isolated stimuli are each individually uncorrelated to one another, i.e., they are random in time. An analytical ERG is constructed to test the efficacy of the use of single- and double-kernel correlations for predicting retinal impulse responses.
  • Keywords
    bioelectric potentials; eye; ERG data; distributed retinal source activity; multiple stimulus approach; noninvasive prediction; signal-correlation techniques; single-kernel correlation; Convolution; Cornea; Heart; Impulse testing; Light scattering; Protocols; Retina; Subspace constraints; Animals; Electroretinography; Models, Biological; Rana catesbeiana; Retina; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1988.1245947
  • Filename
    1245947