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Study on independent component analysis for epilepsy electroencephalogram / 医学研究生学报
Journal of Medical Postgraduates ; (12)2003.
Article in Chinese | WPRIM | ID: wpr-588682
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.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Journal of Medical Postgraduates Year: 2003 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Journal of Medical Postgraduates Year: 2003 Type: Article