Applying B-value and Empirical Equivalence Hypothesis Testing to IDD EEG Data

In this study a new two-step process for hypothesis testing, is applied to compare individuals with Intellectual and Developmental Disorder (IDD) and Typically Developing Controls (TDC), using EEG signals. EEG data were recorded during resting state and music stimuli. Features were extracted from the preprocessed data and utilized in a two-step hypothesis testing framework. This framework combines conventional hypothesis testing with an equivalence testing approach, utilizing an empirical equivalence bound (EEB) estimated from the input data. To our best knowledge this is the first study which applies this method to biomedical data. By employing this method, we can accurately compare the features associated with IDD and TDC, which helps to identify distinct characteristics related to the disorder.