Evoked potentials extraction based on cross-talk resistant adaptive noise cancellation.
- Author:
Qingning ZENG
1
;
Ling LI
;
Qinghua LIU
;
Dezhong YAO
Author Information
1. Department of Telecommunications and Information Engineering, Guilin University of Electronic Technology, Guilin 5410041, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain;
physiology;
Computer Simulation;
Evoked Potentials;
physiology;
Humans;
Models, Theoretical;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2004;21(3):410-415
- CountryChina
- Language:Chinese
-
Abstract:
As Evoked Potentials are much lower in amplitude with respect to the on-going EEC, many trigger-related signals are needed for common averaging technique to enable the extraction of single-trail evoked potentials (EP). How to acquire EP through fewer evocations is an important research project. This paper proposes a cross-talk resistant adaptive noise cancellation method to extract EP. Together with the use of filtering technique and the common averaging technique, the present method needs much less evocations to acquire EP signals. According to the simulating experiment, it needs only several evocations or even only one evocation to get EP signals in good quality.
