EEG brain map reconstruction using blind source separation
Saeid Sanei, A.R. Leyman · 2002
EEG-based brain maps are very useful in anatomical, functional and pathological diagnosis. These images are projections of the energy of the signals in four different frequency bands. Joint approximate diagonalization of eigenmatrices (JADE) is used as an effective tool in the deconvolution of EEG signals prior to spectrum estimation. The algorithm also, restores the noise from the signal as a result of higher order statistics (HOS) estimation. The spectrum is estimated using autoregressive (AR) modelling and pseudo-hot colours are used to represent brain activities. The results show a great enhancement in diagnostic features in the reconstructed images. The overall system also enables real-time reconstruction of the images for patient monitoring purposes.