Extraction of evoked related potentials by using the combination of independent component analysis and wavelet analysis.
- Author:
Ling ZOU
1
;
Shuyue CHEN
;
Yuqiang SUN
;
Zhenghua MA
Author Information
1. Faculty of Information Science and Technology, Jiangsu Polytechnic University, Changzhou 213164, China. zoulingme@yahoo.com.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Electroencephalography;
methods;
Evoked Potentials;
physiology;
Humans;
Principal Component Analysis;
Signal Processing, Computer-Assisted;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2010;27(4):741-745
- CountryChina
- Language:Chinese
-
Abstract:
In this paper we present a new method of combining Independent Component Analysis (ICA) and Wavelet de-noising algorithm to extract Evoked Related Potentials (ERPs). First, the extended Infomax-ICA algorithm is used to analyze EEG signals and obtain the independent components (Ics); Then, the Wave Shrink (WS) method is applied to the demixed Ics as an intermediate step; the EEG data were rebuilt by using the inverse ICA based on the new Ics; the ERPs were extracted by using de-noised EEG data after being averaged several trials. The experimental results showed that the combined method and ICA method could remove eye artifacts and muscle artifacts mixed in the ERPs, while the combined method could retain the brain neural activity mixed in the noise Ics and could extract the weak ERPs efficiently from strong background artifacts.
