A Method Based on Chirplet Transform for Visual Evoked Potentials Eztraction

摘要：

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.

关键词： visual evoked potentials Chirplet transform mazimum likelihood estimation ezpectation mazimization

作者: Fei-yue Qiu Li-ping Wang Xin Gao Hao-jun Li

作者单位: Collage of Education Science and Technology Zhejiang University of Technology Hangzhou Zhejiang, Chi Collage of Business Administration Zhejiang University of Technology Hangzhou Zhejiang, China Collage of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2181-2184

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）