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

In the clinical analysis and processing for EEG, because of the difference of ages and pathology, it is possible to appear abnormal waves related with pathology. Also, the restrain of normal rhythms could be abnormal. But at present doctors estimate if certain rhythm is restrained only by using the method of eyeballing or by some simply analysis methods in clinical EEG detection, which will inevitably lead to some errors and 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 assistant analysis method.