Modeling and classification of voluntary and imagery movements for brain–computer interface from fNIR and EEG signals through convolutional neural network

類似資料

• Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation
  著者:: Rahman, Md. Asadur, 等
  出版事項: (2020)
• A Narrative Review on Clinical Applications of fNIRS
  著者:: Rahman, Md. Asadur, 等
  出版事項: (2020)
• Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
  著者:: Keum-Shik Hong, 等
  出版事項: (2018-06-01)
• Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
  著者:: Hong, Keum-Shik, 等
  出版事項: (2018)
• An effective classification framework for brain-computer interface system design based on combining of fNIRS and EEG signals
  著者:: Alhudhaif, Adi
  出版事項: (2021)