期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2010
卷号：3
期号：1
页码：207-213
语种：English
出版社：Oriental Scientific Publishing Company
摘要：The Electroencephalograph (EEG) signal is widely used to analyze neural activity within the human brain for detection of any abnormalities. Since the EEG signal is dynamic by nature and changes constantly a highly sensitive yet robust system is required to monitor the activities. In this work, EEG waves are analyzed and then classified using first the Discrete Wavelet Transform DWT, used for time-frequency analysis, followed by Fast Fourier Transform (FFT) that captures the rhythmic changes in EEG data. The process uses DWT for classifying EEG wave’s frequencies, where as FFT is implemented to visualize these waves.
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