ABSTRACT
This chapter discusses the wavelet analysis of autism that will go through the phase of multi-scale decomposition and entropy calculation of corresponding delta, theta, alpha, beta, and gamma for different age-groups of children. Autism spectrum disorder (ASD) is a disorder that affects communication, interaction with other people, and behaviour. By using models and analysis of autism spectrum disorder it is expected to get psychometric tools that will further help psychologists and pediatricians to diagnose and evaluate patients suffering with ASD. In order to observe brain activity, the electroencephalogram (EEG) and functional magnetic resonance imaging are extensively used methods, EEG being a direct and the latter an indirect method. Researchers have produced immense evidence demonstrating autism spectrum disorder, which is a stereotyped, heterogeneous neurodevelopmental syndrome categorized by weak social communication skills and recurring activities among children, and it is proposed that EEG could be used to quantify this abnormal and digressive neural connectivity.
