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  • 标题:Detection and classification of EEG waves
  • 本地全文:下载
  • 作者:Hemant K. Sawant ; Zahra Jalali
  • 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
  • 出版社:Oriental Scientific Publishing Company
  • 摘要:The Electroencephalograph (EEG) signal is widely used to analyze neural activity within thehuman brain for detection of any abnormalities. Since the EEG signal is dynamic by nature and changesconstantly 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 WaveletTransform DWT, used for time-frequency analysis, followed by Fast Fourier Transform (FFT) that capturesthe rhythmic changes in EEG data. The process uses DWT for classifying EEG wave's frequencies,where as FFT is implemented to visualize these waves
  • 关键词:Bioinformatics; DWT; FFT; Electroencephalogram (EEG).
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