학술논문

Comparison between characteristics of EEG signal generated from dyslexic and normal children
Document Type
Conference
Source
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on. :943-946 Dec, 2012
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Robotics and Control Systems
Electroencephalogram
dyslexia
writing
Fast Fourier Transform
Language
Abstract
Electroencephalogram (EEG) is one of the methods to detect dyslexia in children. Dyslexia has to be detected at an early stage to help the children to excel in their study and later be successful in life. In this study, the EEG signals generated from dyslexic and normal children during relax and writing words were processed, analysed and compared. Four electrodes; C3, C4, P3 and P4 were used in the recording of the EEG signals. The recorded EEG signals were filtered using a band pass filter with frequency range of 8 – 30 Hz. The signal was then analyzed using Fast Fourier Transform. Analysis of EEG signals showed that the range of frequency of EEG signals during writing for dyslexic was greater than that of normal children for each electrode placement at beta sub band frequency. The range of frequency of EEG signals for dyslexics is 22 – 28 Hz whereas for normal children is 14 – 22 Hz.