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EEG-Based Anxious States Classification Using Affective BCI-Based Closed Neurofeedback System.

Chao ChenXuecong YuAbdelkader Nasreddine BelkacemLin LuPenghai LiZufeng ZhangXiaotian WangWenjun TanQiang GaoDuk ShinChangming WangSha ShaXixi ZhaoDong Ming
Published in: Journal of medical and biological engineering (2021)
The results suggest that our proposed EEG neurofeedback-based classification approach is efficient for developing affective BCI system for detection and evaluation of anxiety disorder states.
Keyphrases
  • deep learning
  • machine learning
  • functional connectivity
  • resting state
  • bipolar disorder
  • working memory
  • loop mediated isothermal amplification
  • real time pcr