DocumentCode
1952029
Title
Study of normal children Electroencephalography signals using Wavelet Transformation
Author
Tumari, Siti Zubaidah Mohd ; Sudirman, Rubita ; Ahmad, A.H. ; Al-Haddad, A.
Author_Institution
Dept. of Electron. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2012
fDate
17-19 Dec. 2012
Firstpage
896
Lastpage
900
Abstract
This paper presents the characteristics of Electroencephalography (EEG) signal based on sensory modulation of visual stimuli assessments. The visual stimuli consisted of two assessments which are Phase 1 (the study phase) and Phase 2 (the working memory phase). The aim of this visual stimulus is to investigate the responses of the brain activity while remembering the sequence of the pictures. Based on this stimulus responses, EEG signal was recorded and captured from four channel locations at F8, F7, F4, and F3. This paper illustrates the extraction of EEG signals from normal children to determine the pattern of signal acquired. The data was analyzed using Wavelet Transform (WT) as normal children generally have beta (β) wave (14 - 32 Hz). This study showed that the characteristics of EEG signal (beta wave) differ with respect to the type of visual stimuli assessment. As a result, Phase 2 had higher Direct Current (DC) value for all channels and the average beta wavelength for ten children was approximately 23.14 Hz.
Keywords
electroencephalography; medical signal processing; wavelet transforms; Direct Current value; EEG signal; brain activity; frequency 14 Hz to 32 Hz; normal children electroencephalography signals; sensory modulation; study phase; visual stimuli; wavelet transformation; working memory phase; Beta Value; EEG signal; Normal Children; Visual Stimuli; Wavelet Transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location
Langkawi
Print_ISBN
978-1-4673-1664-4
Type
conf
DOI
10.1109/IECBES.2012.6498169
Filename
6498169
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