DocumentCode
1643805
Title
Wavelet entropy differentiations of event related potentials in dyslexia
Author
Giannakakis, Giorgos A. ; Tsiaparas, Nikolaos N. ; Xenikou, Monika-Filitsa S. ; Papageorgiou, Charalabos ; Nikita, Konstantina S.
Author_Institution
Biomed. Simulations & Imaging Lab., Nat. Tech. Univ. of Athens, Athens
fYear
2008
Firstpage
1
Lastpage
6
Abstract
The wavelet entropy (WE) of rest electroencephalogram (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.
Keywords
bioelectric potentials; diseases; electroencephalography; medical signal processing; neurophysiology; patient monitoring; EEG; ERP signals; dyslexia; event related potentials; multifrequency brain electrophysiological activity; rest electroencephalogram; wavelet entropy differentiation; working memory task; Biomedical imaging; Biomedical measurements; Brain modeling; Electroencephalography; Enterprise resource planning; Entropy; Frequency; Laboratories; Optical imaging; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on
Conference_Location
Athens
Print_ISBN
978-1-4244-2844-1
Electronic_ISBN
978-1-4244-2845-8
Type
conf
DOI
10.1109/BIBE.2008.4696836
Filename
4696836
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