Determination of the chromatic contrast responses using wavelet analysis of visual evoked potentials

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In order to test the human color vision objectively, we have developed the technique using the sweep parameter VEP technique (Norcia and Tyler, 1985) with an iso-luminant chromatic grating is effective to detect the defective color vision (Momose and Saito, EMBC2002). In this study, the wavelet transform using complex Morlet wavelet was examined to detect the dynamical spectrum of VEP in color vision defectives. Vertical sinusoidal iso-luminant chromatic gratings (6 Hz, 2 c/deg) presented on a color monitor were used as stimuli. The two colors for the gratings were selected from the colors on the dichromatic iso-chromatic lines. Steady-state VEPs were recorded during a continuous decrease of chromatic contrast at 10%/s. VEP components at 12 Hz and 16 Hz were evaluated as the response signal and background EEG (noise), respectively. For deuteranopic iso-chromatic colors, the signal to noise ratio (SNR) of deuteranope and deteranomalia were significantly lower than those of normals (P<0.01), indicating that this technique is effective for objectively detecting of the color vision defectives.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages6993-6995
Number of pages3
Publication statusPublished - 2005 Dec 1
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 2005 Sep 12005 Sep 4

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period05/9/105/9/4

ASJC Scopus subject areas

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

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