Single trial eeg classification of tasks with dominance of mental and sensory attention with deep learning approach

Irina Knyazeva, Alexander Efitorov, Yulia Boytsova, Sergey Danko, Vladimir Shiroky, Nikolay Makarenko

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

© Springer Nature Switzerland AG 2019. In this paper, we present classification algorithms based on single-trial ElectroEncephaloGraphy (EEG) during the performance of tasks with the dominance of mental and sensory attention. Statistical data analysis showed numerous significant differences of EEG wavelet spectra density during this task at the group level. We decided to use wavelet power spectral density (PSD) computed in each channel for single trial as the source of feature extraction for the classification task. To obtain a low-dimensional representation of PSD image convolutional autoencoder (CNN) was trained. With this encoded representation binary classification for each subject with multilayer perceptron (MLP) were performed. The classification error varies depending on the subject with the average true classification rate is 83.4%, and the standard deviation is 6.6%. So this approach potentially could be used in the tasks where pattern classification is used, such as a clinical decision or in Brain-Computer Interface (BCI) system.
LanguageEnglish
Title of host publicationStudies in Computational Intelligence
Pages190-195
Number of pages6
Volume799
DOIs
StatePublished - 1 Jan 2019

Keywords

  • Deep learning
  • EEG single trial classification
  • Mental and sensory attention
  • Neural networks

Cite this

Knyazeva, I., Efitorov, A., Boytsova, Y., Danko, S., Shiroky, V., & Makarenko, N. (2019). Single trial eeg classification of tasks with dominance of mental and sensory attention with deep learning approach. In Studies in Computational Intelligence (Vol. 799, pp. 190-195) https://doi.org/10.1007/978-3-030-01328-8_21, https://doi.org/10.1007/978-3-030-01328-8_21
Knyazeva, Irina ; Efitorov, Alexander ; Boytsova, Yulia ; Danko, Sergey ; Shiroky, Vladimir ; Makarenko, Nikolay. / Single trial eeg classification of tasks with dominance of mental and sensory attention with deep learning approach. Studies in Computational Intelligence. Vol. 799 2019. pp. 190-195
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Single trial eeg classification of tasks with dominance of mental and sensory attention with deep learning approach. / Knyazeva, Irina; Efitorov, Alexander; Boytsova, Yulia; Danko, Sergey; Shiroky, Vladimir; Makarenko, Nikolay.

Studies in Computational Intelligence. Vol. 799 2019. p. 190-195.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

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