A Method Based on Chirplet Transform for Visual Evoked Potentials Extraction
Feiyue Qiu, Xin D. Gao, Liping Wang, Haojun Li · 2008
Fast and accurate to extract the visual evoked potential form large background noise has very high medical value in ophthalmology and neurological dysfunction, and other aspects of the clinical diagnosis. In this paper, a method based on chirplet transform for extract VEP signal has been adopted in which use maximum likelihood estimation to estimate chirplet parameters, and parameters are refined at each iteration by expectation-maximization algorithm. The scheme of the algorithm is shown in this paper, and the result of the synthetic signal and the actual acquisition VEP signal demonstrate the validity of the method proposed.