An improved weighted median filter and its application in EOG processing.
- Author:
Ning SHI
1
;
Xingyu WANG
;
Junzhong ZOU
;
Bei WANG
Author Information
1. College of Information Science and Engineering ECUST, Shanghai 200237, China.
- Publication Type:Journal Article
- MeSH:
Electrooculography;
methods;
Eye Movements;
physiology;
Humans;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2007;24(5):1069-1072
- CountryChina
- Language:Chinese
-
Abstract:
As a classic eye movement method, electrooculogram (EOG) has been extensively used in many applications. There are many different types of eye movements and artifact in the EOG signal. Noise attenuation and signal separation have received special attention in the EOG research. In this paper, we introduce a novel Linear-nonlinear combinational filter based on weighted FIR-median-hybrid (WFMH) with the characteristic of the EOG signal. The result of the simulation shows that this filter has the property of removing random noise more efficiently when preserving sharp edges. Finally, it is shown that the new filter is effective in separating saccadic and eye blink in the EOG signal.
