Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Australasian physical & engineering sciences in medicine

• Publication date

  2015-02-04

• Fields of study

  Medicine, Computer Science, Mathematics

• Identifiers
  DOI 10.1007/s13246-015-0333-xPMID 25649845
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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  2011influential reference
• Theta power as a marker for cognitive interference.

  2011cited by this paper
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