SYSTEMS AND METHODS FOR ANALYZING ELECTROENCEPHALOGRAMS

Abstract

Disclosed are systems and methods for analyzing and evaluating electroencephalogram (EEG) signals, comprising built-in independent component analysis (ICA), frequency-domain averaging, standardized Low Resolution Electromagnetic Tomography (sLORETA), and source localization to deconvolve EEG rhythms into individual sources and patterns. The disclosed systems and methods capture the morphology of one “event” being produced by that brain source and analyze the pattern of “events” over time. The detection and isolation of singular events and the association of the events to the particular times that they occur can allow insight into the morphology of the waves, and the exact timing of the brain events, including effects that change across time.

CPC Classifications