A Fast and Reliable Method to Analyze EEG/MEG Single Trial Amplitude and Latency in Noisy Data

The bias for both amplitude and latency estimates tends to zero as SNR increases and starts deviating from zero as the standard deviation of the latency variation in the signal is greater than 56 ms. An application with real noisy data highlights the advantages (Figure 2).

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2009-07, Vol.47, p.S102-S102
Main Authors: Weeda, W.D., Grasman, R., van de Laar, M.C., van der Molen, M.W., Huizenga, H.M.
Format: Article
Language:English
Subjects:
Estimates
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Description
Summary:The bias for both amplitude and latency estimates tends to zero as SNR increases and starts deviating from zero as the standard deviation of the latency variation in the signal is greater than 56 ms. An application with real noisy data highlights the advantages (Figure 2).
ISSN:1053-8119
1095-9572
DOI:10.1016/S1053-8119(09)70887-0