ABSTRACT
QUANTITATIVE EEG, A NEW USE FOR AN OLD CONCEPT For many years, we have used classical electroencephalography (EEG) in clinical settings. Clinicians use classical EEG primarily to detect and classify seizure disorders. However, each EEG clearly contains additional significant information (1,2). A new approach to classical EEG, Quantitative EEG, views EEG data using acquisition systems and computers that store large quantities of data. To use these tools appropriately in electroencephalography, we need definitions of normality and abnormality (3-7). As a result, F. Duffy, E. John, and R. Thatcher developed several databases that are commercially available for clinical and research settings (8-10). Databases become important because one’s EEG interpretation often depends on the choice of comparison groups. Only if we can replicate the results in other laboratories and test the results in the clinical realm does published data become of universal importance. Without common, universal, comparison groups, this is a very difficult task (11).
