陶彩林,邹凌,马正华,周仁来.诱发电位单次提取技术的研究进展[J].生物医学工程学杂志,2009,26(5):1158-1161. TAO Cai-lin,LING Zou,MA Zheng-hua,ZHOU Ren-lai.Progress in single extraction of evoked potential[J].Journal of Biomedical Engineering,2009,26(5):1158-1161.(in Chinese)
[2]
Rahman MZU,Shaik RA,Reddy DVRK.Cancellation of artifacts in ECG signals using block adaptive filtering techniques[J].Software Tools and Algorithms for Biological Systems,2011,696:505-513.
[3]
Feng Zhen,Zhang Suo-di.Intelligent diagnosis on ERP performance by using classified wavelet neural network[J].Computer Engineering and Applications,2010,46(4):243-244,248.
[4]
罗志增,李文国.基于小波变换和盲信号分离的多通道肌电信号处理方法[J].电子学报,2009,37(4):823-827. LUO Zhi-zeng,LI Wen-guo.A method of multi-channel EMG disposal based on wavelet transform and blind signal separation[J].Acta Electronica Sinica,2009,37(4):823-827.(in Chinese)
[5]
万柏坤,朱欣,杨春梅,高扬.ICA去除EEG中眼动伪差和工频干扰方法研究[J].电子学报,2003,31(10):1571-1574. WAN Bai-kun,ZHU Xin,YANG Chun-mei,GAO Yang.Study on applying independent component analysis to remove blink artifacts and power noise in EEG[J].Acta Electronica Sinica,2003,31(10):1571-1574.(in Chinese)
[6]
张宇,张建华,王行愚,等.基于Fast ICA 的P300 电位快速提取方法[J].华东理工大学学报(自然科学版),2009,35(5):750-755. ZHANG Yu,ZHANG Jian-hua,WANG Xing-yu,et al.A fast ICA-based approach to extracting P300 potential[J].Journal of East China University of Science and Technology(Natural Science Edition),2009,35(5):750-755.(in Chinese)
[7]
Darshan Iyer,George Zouridakis.Single-trial evoked potential estimation:Comparison between independent component analysis and wavelet denoising[J].Clinical Neurophysiology,2007,118:495-504.
[8]
Hung Chih-I,Yang Yea-Ru,Wang Ray-Yau,et al.Enhancement of signal-to-noise ratio of peroneal somatosensory evoked potential using independent component analysis and time-frequency template[J].Journal of Medical and Biological Engineering,2008,28(3):161-166.
[9]
陈洪波,陈真诚,汤井田.基于ICA的同场景多幅图像中的强噪声抑制[J].电子科技大学学报(自然科学版),2010,39(2):209-213. CHEN Hong-bo,CHEN Zhen-cheng,TANG Jing-tian.Strong noise pollution control in multiple copy images[J].Journal of the University of Electronic Science and Technology of China,2010,39(2):209-213.(in Chinese)
[10]
Lee TW,et al.Independent component analysis using an extened infomax algorithm for mixed Subgaussian and Supergaussian sources[J].Neural Computation,1999,11(2):409-33.
[11]
张和发,李立萍,杨小牛,李万春.一种适用于微弱信号盲提取的白化方法[J].电子学报,2011,39(6):1297-1301. ZHANG He-fa,LI Li-ping,YANG Xiao-niu,LI Wan-chun.An efficient whitening method for weak signal extraction[J].Acta Electronica Sinica,2011,39(6):1297-1301.(in Chinese)
[12]
S Aviyente,E M Bernat,S M Malone,et al.Time-frequency data reduction for event related potentials:Combining principal component analysis and matching pursuit [J].EURASIP Journal on Advances in Signal Processing,2010,11(55):289-571.
[13]
Jan R Wessel,Markus Ullsperger.Selection of independent components representing event-related brain potentials:A data-driven approach for greater objectivity[J].NeuroImage,2011,54:2105-2115.
[14]
Ling Zou,Suolin Duan,Zhenghua ma,Changchun Yang.Single-trial event related potentials extraction by using independent component analysis .2nd International Conference on Biomedical Engineering and Informatics (BMEI’09) .Tianjin:IEEE Press,2009.1-5.
