Channels and features identification: a review and a machine-learning based model with large scale feature extraction for emotions and asd classification

HIGHLIGHTS

• who: Abdul Rehman Aslam from the Department of Electrical Engineering, Lahore University of Management Sciences, Lahore, Pakistan, James Watt School of London, United Kingdom have published the paper: Channels and Features Identification: A Review and a Machine-Learning Based Model With Large Scale Feature Extraction for Emotions and ASD Classification, in the Journal: (JOURNAL)
• what: These evaluations require ample time and are a major reason for the late diagnosis of ASD patients. The latest research focuses on the solutions to identify ASD patients using their physiological signals, especially brain signals (Electroencephalogram) (Kakkar, 2019; Alturki et_al . . .
  

   

  

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