• DocumentCode
    391906
  • Title

    Functional signal detection in retinal videos

  • Author

    Barriga, Eduardo S. ; Soliz, Peter ; Truitt, Paul W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    4-7 Aug. 2002
  • Abstract
    An optical imaging device of retina function (OID-RF) has been developed to perform measurements of changes in blood perfusion due to neural activity resulting from visual stimulation of the photoreceptors in the human retina. Experiments were performed by measuring the changes in reflected long wave visible (700 nm) light from the retina caused by the retinal activation in response to a visual stimulus. The problem being addressed is that of detecting the signal from the retinal activation in the presence of noise from other sources, including the unstimulated retinal background and other unknown physiological changes. Preprocessing of the raw data was done to eliminate unwanted artifacts, such as blinking or excessive eye movement. Principal Component Analysis (PCA) was used to isolate the functional signal. The results of the analysis showed that regions of the retina that were stimulated could be detected using PCA.
  • Keywords
    biomedical optical imaging; eye; medical image processing; optical signal detection; principal component analysis; 530 nm; 700 nm; PCA; blood perfusion; functional signal detection; human retina; infrared reflectance; neural activity; noise; optical imaging device; photoreceptors; principal component analysis; retina function; retinal activation; retinal videos; visual stimulation; Background noise; Blood; Humans; Optical imaging; Performance evaluation; Photoreceptors; Principal component analysis; Retina; Signal detection; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
  • Print_ISBN
    0-7803-7523-8
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2002.1187253
  • Filename
    1187253