A Time-Frequency approach for EEG signal segmentation

Milad Azarbad; Hamed Azami; Saeid Sanei; A Ebrahimzadeh

Volume 2, Issue 1 , March 2014, , Pages 63-71


  The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition ...  Read More