Detection of EEG basic rhythm feature by using band relative intensity ratio (BRIR)

Abstract

In the clinical analysis and processing for EEG, because of the difference of ages and pathology, it is possible for abnormal waves to appear, related with pathology. Also, the restraint of normal rhythms could be abnormal. But at present doctors estimate if a certain rhythm is restrained only by eye or by some simple analysis methods in clinical EEG detection, which will inevitably lead to some errors and are not observable. By "the virtual EEG record and analysis instrument" introduced in this paper, all kinds of characteristic waveforms (e.g. epileptic wave and spikes wave etc.) can be detected and analyzed in time-frequency domain. From the view of clinical application, the concept of band relative intensity ratio (BRIR) is introduced with time-frequency domain analysis, by the use of which we can obtain the relative intensity of all basic rhythms in a certain time period, and this is believed to provide a good assisting analysis method.