Research of removing artifacts in EEG based on ICA arithmetic.
- Author:
Ying JUN
1
;
Chen GUANGFEI
;
He SHILIN
Author Information
1. Lab of Biomedical Engineering, PLA General Hospital, Beijing, 100853. yingjun301@sina.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Electroencephalography;
methods
- From:
Chinese Journal of Medical Instrumentation
2010;34(1):12-15
- CountryChina
- Language:Chinese
-
Abstract:
This paper introduces the basic theory and arithmetic of Independent Component Analysis which is a novel technology developed for Blind Source Separation. The Fast ICA arithmetic is applied as an example in analysis and separation of artifacts in clinical multiple channel EEG. The experiment results testify that by using ICA method artifacts in EEG such as EOG and power line interference can be separated and removed effectively.
