Filtering techniques for channel selection in motor imagery eeg applications: a survey

HIGHLIGHTS

• who: Muhammad Zeeshan Baig from the Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne , ST, UK have published the article: Filtering techniques for channel selection in motor imagery EEG applications: a survey, in the Journal: (JOURNAL)
• what: The aim of applying channel selection is to reduce computational complexity while analysing EEG signals improve classification accuracy by reducing over-fitting and decrease setup time. The authors present a survey of recent development in filtering channel selection techniques along with their feature extraction and classification methods for MI-based EEG applications. The survey focuses on . . .
  

   

  

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