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Analysis of functional components of P300 by wavelet transform

Authors: T. Demiralp; Y. Istefanopulos; A. Ademoglu; J. Yordanova; V. Kolev;

Analysis of functional components of P300 by wavelet transform

Abstract

The wavelet transform (WT) was applied to event-related potentials (ERPs) elicited in oddball paradigm to investigate the presence of several functional components occuring in the P300 latency range. Quadratic B-spline WT was used to decompose the single-sweep ERPs into four octaves. The analysis demonstrates that several delta, theta, and alpha frequency components in the P300 latency range differ in latency and amplitude between target and nontarget processing. These findings indicate that P300 is composed of multiple functional components and the WT is a powerful technique to help study them.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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