Frontiers in Neuroscience (Sep 2014)

Studentized Continuous Wavelet Transform (t-CWT) in the Analysis of Individual ERPs: Real and Simulated EEG Data

  • Ruben Gustav Leonhardt Real,
  • Boris eKotchoubey,
  • Andrea eKübler

DOI
https://doi.org/10.3389/fnins.2014.00279
Journal volume & issue
Vol. 8

Abstract

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This study aimed at evaluating the performance of the Studentized Continuous Wavelet Transform (t-CWT) as a method for the extraction and assessment of event-related brain potentials (ERP) in data from a single subject. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the t-CWT were assessed and compared to a variety of competing procedures using simulated EEG data at six low signal-to-noise ratios. Results show that the t-CWT combines high sensitivity and specificity with favorable PPV and NPV. Applying the t-CWT to authentic EEG data obtained from 14 healthy participants confirmed its high sensitivity. The t-CWT may thus be well suited for the assessment of weak ERPs in single-subject settings.

Keywords