• DocumentCode
    3051623
  • Title

    Research on the Amblyopia Objectivity Examination System Based on Eye Electrophysiology Technology

  • Author

    Li Hao-jun ; Qiu Fei-yue ; Wang Li-ping

  • Author_Institution
    Coll. of Educ. Sci. & Technol., Zhejiang Univ. of Technol., Hangzhou
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    1072
  • Lastpage
    1075
  • Abstract
    Amblyopia is a common visional disease of children. At present the accuracy of subjectivity examination is low and the objectivity examination also has some disadvantages, such as strict environment requests, too much stimulating frequency and so on. So we need a stable and practical objectivity examination method to solve problems. This thesis takes a research on the basic principle of the amblyopia electrophysiology and the electric potential signal characteristic based on the P-VEP technology is discussed in the amblyopia objectivity examination, and the wavelet iterative optimization threshold value method is used to eliminate the noise during signal processing. Choosing appropriate some equipments, we design the amblyopia electrophysiology examination system based on P-VEP technology. Finally the experiment proves the feasibility and practicability of this system, which will be good to the research of the subsequent amblyopia objectivity examination method and individuation treatment.
  • Keywords
    bioelectric potentials; eye; optimisation; vision defects; visual evoked potentials; amblyopia objectivity examination system; electric potential signal; eye electrophysiology technology; visional disease; wavelet iterative optimization threshold; Background noise; Bioelectric phenomena; Diseases; Educational technology; Electric potential; Electrophysiology; Frequency; Noise reduction; Signal processing; Vision defects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    1-4244-1120-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2007.277
  • Filename
    4272761