An electroencephalographic processing algorithm specifically intended for analysis of cerebral electrical activity

Abstract

This article describes a computer procedure for the examination and analysis of cerebral electrical activity (CEA). Changes in CEA generate random electrical activity and may include transitory events, such as burst episodes. As yet, there are no standard techniques for evaluating the statistical process of the CEA. This article proposes a computerized method of analyzing the stochastic character of CEA using a computer algorithm. Using a real-time wave-by-wave technique, the algorithm characterizes CEA by the frequency and amplitude of each CEA waveform. This algorithm produces digital packets of information that describe individual CEA waveforms.