Construction and Validation of a New BrainView qEEG Discriminant Database

A normative quantitative electroencephalogram (qEEG) database is vital for assessing brain disorders.However, constructing qEEG normative databases for research and clinical applications has posed challenges over the past 61 years, due to defining the 'normal' population and lack of standardized procedures for EEG data.This study aims to build a new BrainView qEEG discriminant database that meets strict normative data criteria derived from the field's challenges and milestones, using a method similar to that used to construct a normative database.It follows key procedures: data collection and preprocessing, feature extraction and selection, as well as classification and validation.BrainView comprises data for 28,283 subjects (7,798 healthy subjects) for eyesopen and eyes-closed conditions, spanning ages 4 to 85 years.Developed using patient data, BrainView's discriminant function identifies a patient's likelihood of belonging to a specific clinical group, aiding in precise diagnosis.The goal is to establish BrainView as a gold standard for diagnosis and prognosis of various brain disorders, enabling standardized use in clinical practice.