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A Fast and Reliable Method for Simultaneous Waveform, Amplitude and Latency Estimation of Single-Trial EEG/MEG Data

Wouter D Weeda, Raoul P P P Grasman, Lourens J Waldorp, Maria C van de Laar, Maurits W van der Molen and Hilde M Huizenga

PLOS ONE, 2012, vol. 7, issue 6, 1-15

Abstract: The amplitude and latency of single-trial EEG/MEG signals may provide valuable information concerning human brain functioning. In this article we propose a new method to reliably estimate single-trial amplitude and latency of EEG/MEG signals. The advantages of the method are fourfold. First, no a-priori specified template function is required. Second, the method allows for multiple signals that may vary independently in amplitude and/or latency. Third, the method is less sensitive to noise as it models data with a parsimonious set of basis functions. Finally, the method is very fast since it is based on an iterative linear least squares algorithm. A simulation study shows that the method yields reliable estimates under different levels of latency variation and signal-to-noise ratioÕs. Furthermore, it shows that the existence of multiple signals can be correctly determined. An application to empirical data from a choice reaction time study indicates that the method describes these data accurately.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0038292

DOI: 10.1371/journal.pone.0038292

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