Abstract:
There has been a significant increase in the
incidence of autism. We report the work on autism
by our international group, on the growing attention
paid to EEG based diagnosis and the interest in
tracing EEG changes to brain electromagnetic
signals (BEMS), seeking the cause of autism and the
brain regions of its origin. The time- and frequency
domain and principal component analysis (PCA) of
these EEG signals with a Multilayer Perception
Neural Network (MLP) identifies an autistic subject
and helps improve classification accuracy. We show
differences between a working brain and a relaxed
brain, especially in the Alpha waves used for
diagnosis.
