Spectral entropy of dyslexic ERP signal by means of Adaptive Optimal Kernel

Author

Giannakakis, Giorgos A. ; Tsiaparas, Nikolaos N. ; Papageorgiou, Charalabos ; Nikita, Konstantina S.

Author_Institution

Biomed. Simulations & Imaging Lab., Nat. Tech. Univ. of Athens, Athens, Greece

fYear

2009

fDate

5-7 July 2009

Firstpage

1

Lastpage

6

Abstract

In this paper, subband spectral entropy (SSE) and its relative form was used for the analysis of rest electroencephalogram (EEG) and event related potentials (ERP). The recorded signals were taken from control children and children with dyslexia. Adaptive-optimal-kernel (AOK) time-frequency representation was used to produce high resolution spectrogram. Then, SSE and relative subband spectral entropy (RSSE) were calculated. The entropic patterns of both controls and dyslexics were investigated showing differences in specific electrode recordings.

Keywords

bioelectric potentials; biomedical electrodes; electroencephalography; entropy; medical disorders; neurophysiology; paediatrics; time-frequency analysis; AOK time-frequency representation; EEG; ERP signal; SSE; adaptive optimal kernel; brain function monitoring; dyslexic children; electroencephalogram; event related potential; high resolution spectrogram; specific electrode recording; subband spectral entropy; Biomedical measurements; Electroencephalography; Enterprise resource planning; Entropy; Fourier transforms; Frequency domain analysis; Kernel; Signal resolution; Time frequency analysis; Time measurement; EEG; ERP; adaptive optimal kernel; spectral entropy; time-frequency representation;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing, 2009 16th International Conference on

Conference_Location

Santorini-Hellas

Print_ISBN

978-1-4244-3297-4

Electronic_ISBN

978-1-4244-3298-1

Type

conf

DOI

10.1109/ICDSP.2009.5201265

Filename

5201265