Wavelet entropy differentiations of event related potentials in dyslexia

Giannakakis, GA; Tsiaparas, NN; Xenikou, M-FS; Papageorgiou, C; Nikita, KS

dc.contributor.author	Giannakakis, GA	en
dc.contributor.author	Tsiaparas, NN	en
dc.contributor.author	Xenikou, M-FS	en
dc.contributor.author	Papageorgiou, C	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:45:51Z
dc.date.available	2014-03-01T02:45:51Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32428
dc.subject	Electroencephalogram	en
dc.subject	Event Related Potential	en
dc.subject	event-related potential erp	en
dc.subject	Healthy Subjects	en
dc.subject	Working Memory	en
dc.subject.other	Degree of order	en
dc.subject.other	Electrophysiological activity	en
dc.subject.other	ERP activities	en
dc.subject.other	Event-related potentials	en
dc.subject.other	Healthy subjects	en
dc.subject.other	Multi frequency	en
dc.subject.other	Quantitative measures	en
dc.subject.other	Wavelet entropies	en
dc.subject.other	Working memories	en
dc.subject.other	Bioinformatics	en
dc.subject.other	Brain	en
dc.subject.other	Electrophysiology	en
dc.subject.other	Enterprise resource planning	en
dc.subject.other	Electroencephalography	en
dc.title	Wavelet entropy differentiations of event related potentials in dyslexia	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696836	en
heal.identifier.secondary	4696836	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696836	en
heal.publicationDate	2008	en
heal.abstract	The wavelet entropy (WE) of rest electro encephalogram (EEG) and of event-related potentials (ERP) carries information about the degree of order or disorder associated with a multi-frequency brain electrophysiological activity. In the present study, WE, relative WE and WE change were estimated for the EEG and ERP signals recorded during a working memory task, from dyslectic children and healthy subjects. The analysis of the two groups (controls vs dyslectics) revealed differentiations mainly in relative WE and WE change that takes into account the variability of rest EEG. These findings indicate that the WE can be employed as a quantitative measure for monitoring EEG and ERP activities and may provide a useful tool in analyzing electrophysiological signals associated with dyslexia.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696836	en