• DocumentCode
    1703571
  • Title

    ERP qualification exploiting waveform, spectral and time-frequency infomax

  • Author

    Cong, Fengyu ; Ristaniemi, Tapani ; Lyytinen, Heikki

  • Author_Institution
    Dept. of Math. Inf. Technol., Univ. of Jyvaskyla, Jyvaskyla
  • fYear
    2008
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    The present contribution briefly introduces an event related potential (ERP) detector. The specified detector includes three kinds of features of ERP. They are the ERP waveform feature, ERP spectral feature and ERP time-frequency feature respectively. According to these characteristics, two parameters are defined to reflect the timing feature of ERP. The mismatch negativity (MMN) is taken as the example to design an exact qualification detector. The experiment validates that the computer can automatically detect the raw trace to reflect the quality of the dataset, qualify the filtered trace to test whether the artifacts have been filtered out, and select the ERP-like component to reject artifacts. This can avoid the mistakes taken by the prior knowledge of the scalp map characteristic criteria. Furthermore, the qualification detector can give the response to users for the further experiment.
  • Keywords
    bioelectric potentials; medical signal detection; medical signal processing; spectral analysis; waveform analysis; ERP detector; ERP spectral feature; ERP time-frequency feature; ERP waveform feature; biomedical signal processing; event related potential; mismatch negativity; Detectors; Enterprise resource planning; Filtering; Independent component analysis; Psychology; Qualifications; Scalp; Temporal lobe; Time frequency analysis; Timing; ERP; MMN; qualification; spectral; time-frequency; waveform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
  • Conference_Location
    St Julians
  • Print_ISBN
    978-1-4244-1687-5
  • Electronic_ISBN
    978-1-4244-1688-2
  • Type

    conf

  • DOI
    10.1109/ISCCSP.2008.4537187
  • Filename
    4537187