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Frontiers in neuroscience · Jan 2014
Studentized continuous wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data.
- Ruben G L Real, Boris Kotchoubey, and Andrea Kübler.
- Department of Psychology I, Institute of Psychology, University of Würzburg Würzburg, Germany.
- Front Neurosci. 2014 Jan 1; 8: 279.
AbstractThis 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.
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