Real-time evaluation system for accurate VEP recording and analysis

Kazuhiko Goto, Takenao Sugi, Yoshitaka Matsuda, Satoru Goto, Hiroki Fukuda, Yoshinobu Goto, Takao Yamasaki, Shozo Tobimatsu

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

    Abstract

    Visual evoked potential (VEP) is widely used for diagnosis and analysis of the brain function on visual system. Accuracy of the analysis depends on the quality of VEP record, so the medical doctors and/or medical technologists always pay attention to the recording state during the recording. In this study, the real-time evaluation system for VEP recording was newly developed. The system can show the following information in real-time; characteristic parameters of VEP, contaminated artifacts affecting VEP recording and background EEG activity. Characteristic parameters of VEP are also possible to compare with their past tendency obtained from data base. Blink artifacts, EMG artifacts and posterior alpha wave were detected for evaluating the state of recording. Developed system was applied to VEP recording of 10 healthy adults. Effectiveness of the proposed system was investigated.

    Original languageEnglish
    Title of host publication2012 ICME International Conference on Complex Medical Engineering, CME 2012 Proceedings
    Pages429-434
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event6th International Conference on Complex Medical Engineering, CME 2012 - Kobe, Japan
    Duration: Jul 1 2012Jul 4 2012

    Publication series

    Name2012 ICME International Conference on Complex Medical Engineering, CME 2012 Proceedings

    Other

    Other6th International Conference on Complex Medical Engineering, CME 2012
    Country/TerritoryJapan
    CityKobe
    Period7/1/127/4/12

    All Science Journal Classification (ASJC) codes

    • Biomedical Engineering

    Fingerprint

    Dive into the research topics of 'Real-time evaluation system for accurate VEP recording and analysis'. Together they form a unique fingerprint.

    Cite this