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文章基本信息

  • 标题:Function Classification of EEG Signals Based on ANN
  • 本地全文:下载
  • 作者:Rajesh Singla ; Neha Sharma
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2014
  • 卷号:3
  • 期号:6
  • 页码:158-163
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:The motor imagery is limited in pattern variety, so in our work, six motor imageries including wrist, elbow, wrist rotation clockwise/anticlockwise and ankle backward/forward moment were used in this system. This paper described the auditory paradigm for recording of motor imagery signals and the relevant coefficient was used for signal analysis and recognition. EEG signals were decomposed into wavelet coefficients by discrete wavelet transform on which SVD technique is applied to get singular value used as feature vectors, presenting them into ANN classifier.
  • 关键词:BCI; EEG; Wavelet Transform; SVD;ANN
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