Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain–Computer Interface Using Adaptive Estimation of General Linear Model Coefficients

Lignende værker

• Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface
  af: Naseer, Noman, et al.
  Udgivet: (2016)
• fNIRS-based Neurorobotic Interface for gait rehabilitation
  af: Khan, Rayyan Azam, et al.
  Udgivet: (2018)
• Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application
  af: Naseer, Noman, et al.
  Udgivet: (2016)
• Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain–Computer Interface
  af: Arif, Saad, et al.
  Udgivet: (2021)
• Commentary: Correlation of prefrontal cortical activation with changing vehicle speeds in actual driving: a vector-based functional near-infrared spectroscopy study
  af: Naseer, Noman
  Udgivet: (2015)