Determination of the chromatic contrast sensitivity using sweep VEP technique

K. Momose*, M. Saito

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)


In order to develop a practical and rapid method to measure the chromatic contrast sensitivity function (CCSF), the sweet parameter technique (Norcia and Tyler, 1985) with an iso-luminant chromatic grating was investigated to determine whether this method can be applied to both normal subjects and subjects with defective color vision. Vertical sinusoidal iso-luminant chromatic gratings presented on a color monitor were used as stimuli. The two colors for the gratings were selected from the colors on the dichromatic lines. Steady-state VEPs were recorded during a continuous decrease of chromatic contrast at 10%/s. The amplitudes of the VEP component at twice of the temporal frequency of the stimulus were evaluated. VEPs elicited by 6, 8, and 10 Hz temporal frequencies, and 0.5, 1, and 2 c/deg spatial frequencies were recorded. For all stimulus conditions, the VEP amplitudes reproducibly decreased with a decrease of chromatic contrast. The modified sweep parameter technique resulted in large amplitudes and reproducible CCSF curves which should be effective for measuring defective color vision.

Original languageEnglish
Pages (from-to)2145-2146
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Publication statusPublished - 2002 Dec 1
Externally publishedYes
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: 2002 Oct 232002 Oct 26


  • Chromatic contrast sensitivity function
  • Contrast sweep VEP
  • Human color vision
  • Short time measurement

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics


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