Title :
Novel Method for Single-Trial Estimation of Event-Related Potential
Author :
Lv, MeiLei ; Zhu, Yonghua ; Yu, Shiming
Author_Institution :
Dept. of Inf. & Electr. Eng., Zhejiang Univ. of Technol., Quzhou, China
Abstract :
This paper presents a novel method for single-trial estimation of event-related potential based on discrete stationary wavelet transform and independent component analysis (ICA). The discrete stationary wavelet transform could filter high-frequency noise in terms of frequency space subdivision. All wavelet coefficients were concatenated as the input of independent component analysis. FastICA algorithm based on negative entropy was adopted for rapid trial estimation of event-related potential. The results of simulation prove the good feasibility and effectiveness of the proposed method.
Keywords :
biomedical engineering; discrete wavelet transforms; entropy; medical signal processing; principal component analysis; biomedical engineering; discrete stationary wavelet transform; event-related potential; fast ICA algorithm; frequency space subdivision; high-frequency noise filters; independent component analysis; negative entropy; rapid trial estimation; signal processing; single-trial estimation; wavelet coefficients; Background noise; Discrete wavelet transforms; Enterprise resource planning; Independent component analysis; Information analysis; Paper technology; Signal processing; Signal processing algorithms; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473773
