AUTISM DETECTION USING EEG

Abstract

Autism disorder is a complex and heterogeneous disorder based on the behavioural symptoms of a particular age. EEG is a relatively easy-to-use, low-cost measurement tool that has been more explored as a potential clinical tool for monitoring and developing the brain. There are many methods and techniques for evaluation to overcome autism disorder like Diagnosis Treatment, Verbal Behavioural Treatment, etc. Many attempts had made in the medical field. Many nonlinear features were computed from EEG signals and used as input for learning the statistical way of methods. The prediction percentage of the Diagnosis treatment based on clinical technology on Autism disorder was highly accurate using the EEG measurements. The sensitivity and specificity were high, exceeding 95% at some ages, which suggests that useful biomarkers that are extracted by the people from these EEG measurements.