Input shape effect on classification performance of raw eeg motor imagery signals with convolutional neural networks for use in brain—computer interfaces

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• who: Emre Aru0131 and Ertuu011frul Tau00e7gu0131n from the Department of Mechanical Engineering, Faculty of Engineering, Marmara University, Istanbul, Turkey have published the paper: Input Shape Effect on Classification Performance of Raw EEG Motor Imagery Signals with Convolutional Neural Networks for Use in Brainu2014Computer Interfaces, in the Journal: (JOURNAL) of 26/01/2023
• what: In this study the effects of different input shapes on model performance and accuracy in the classification of EEG motor imagery signals were investigated which had not been specifically studied before. This study showed that the input shape has a significant effect . . .
  

   

  

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