Deep convolutional neural network for eeg-based motor decoding

HIGHLIGHTS

  • who: Jing Zhang and colleagues from the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China have published the research work: Deep Convolutional Neural Network for EEG-Based Motor Decoding, in the Journal: Micromachines 2022, 13, 1485. of /2022/
  • what: The authors processed each of the four datasets separately, taking the fourth dataset as the example to show the processing pipeline. The aim of this process was to remove the global background activity and enhance the signal-to-noise ratio (SNR). The aim is to decrease the training loss (cross entropy) through backpropagation . . .

     

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