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Title: BCI_MI_CSP_DNN Download
  • Category:
  • matlab
  • Tags:
  • File Size:
  • 14.15mb
  • Update:
  • 2019-09-27
  • Downloads:
  • 3 Times
  • Uploaded by:
  • 渔舟唱晚1
 Description: In this study, our goal was to use deep learning methods to improve the classification performance of motor imagery EEG signals. Therefore, we propose a classification method based on deep learning for motor imagery EEG signals. Based on the pre-processed raw EEG signals, a co-space model (CSP) method is used to extract the EEG feature matrix, which is then fed to a deep neural network (DNN) for training and classification. Our work was tested experimentally on the BCI Competition II Dataset III dataset, and the best DNN framework was proposed, achieving an accuracy of 83.6%.
 Downloaders recently: [More information of uploader 渔舟唱晚1]
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FilenameSizeDate
BCI_MI_CSP_DNN\.git\COMMIT_EDITMSG 25  2019-03-24

BCI_MI_CSP_DNN\.git\config 252  2019-03-24

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BCI_MI_CSP_DNN\Bandpass_filter.m 1060  2018-09-30

BCI_MI_CSP_DNN\CSP_extraction_feature.m 2463  2019-02-26

BCI_MI_CSP_DNN\CSP_feature.mat 6683  2019-03-24

BCI_MI_CSP_DNN\Data_preprocessing.m 518  2019-02-23

BCI_MI_CSP_DNN\DNN.m 2087  2019-03-12

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