Study on independent component analysis for epilepsy electroencephalogram
- VernacularTitle:癫痫脑电信号独立分量分析
- Author:
Tiebing LIU
;
Liming TANG
;
Min WU
;
Xiulai WANG
- Publication Type:Journal Article
- Keywords:
Independent component analysis;
Electroencephalogram;
Epilepsy;
Source location
- From:
Journal of Medical Postgraduates
2003;0(03):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective: Scanning the latent epileptic under the technology of independed component analysis(ICA),finding the patients and intervening in course of diseases earlier,reducing the degree of implicating and the ratio of disability or dead.Methods:Establishing ICA mathematic model,Sampling 16 channels standard EEG using the instrument developed by ourself,and processing the data using Fast ICA algorithm.Results:Separating,recognizing epileptic waveform,and diagnosing epilepsy by the results,and reversed transforming the epileptic waveform into 16 channels EEG space and locating the epileptic focus using some locating software.Conclusion:Scanning epilepsy under ICA,not only reducing signals recognizing workload,but also increasing its efficiency,and makes it possibe to scan epilepsy;and the accuracy and efficiency of source location could be increased greatly by inverse ICA.
