Research for De-noising in the detection of chromatic visual evoked potential based on wavelet.
- Author:
Kai XIONG
1
;
Minxian HOU
;
Guanrong YE
;
Yabo YANG
Author Information
1. State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China. xk@zju.edu.cn
- Publication Type:Journal Article
- MeSH:
Color;
Electrocardiography;
methods;
Evoked Potentials, Visual;
Humans;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2006;23(3):496-498
- CountryChina
- Language:Chinese
-
Abstract:
The signal analysis technology based on wavelet was used to detect the chromatic visual evoked potential (VEP). The method was based on wavelet transform modulus maxima reconstruction. The test signal was decomposed using the dyadic discrete time wavelet transform "Mallat" algorithm, and the modulus maxima distribution of each scale was obtained. Signal was de-noised as the Lipschitz coefficient. The POCS method was used to reconstruction the original signal. The news method proved not only good for de-noising but also for decreasing the times of test by the simulation result.
