DocumentCode :
3481427
Title :
Detection of EEG basic rhythm feature by using band relative intensity ratio (BRIR)
Author :
Ji, Zhong ; Qin, Shuren
Author_Institution :
Test center, Chongqing Univ., China
Volume :
6
fYear :
2003
fDate :
6-10 April 2003
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.
Keywords :
electroencephalography; feature extraction; medical signal detection; time-frequency analysis; BRIR; EEG detection; abnormal waves; band relative intensity ratio; basic rhythm feature; clinical analysis; epileptic wave; spikes; time-frequency domain analysis; virtual EEG record and analysis instrument; Brain; Electroencephalography; Frequency domain analysis; Instruments; Pathology; Pediatrics; Rhythm; Signal resolution; Sleep; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1201710
Filename :
1201710
Link To Document :
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