Advanced Search
Volume 31 Issue 2
Dec.  2010
Turn off MathJax
Article Contents
Lü Jun, Xie Sheng-li, Zhang Jin-long. Adaptive Spatial Filter Based on ERD/ERS for Brain-Computer Interfaces[J]. Journal of Electronics & Information Technology, 2009, 31(2): 314-318. doi: 10.3724/SP.J.1146.2007.01462
Citation: Lü Jun, Xie Sheng-li, Zhang Jin-long. Adaptive Spatial Filter Based on ERD/ERS for Brain-Computer Interfaces[J]. Journal of Electronics & Information Technology, 2009, 31(2): 314-318. doi: 10.3724/SP.J.1146.2007.01462

Adaptive Spatial Filter Based on ERD/ERS for Brain-Computer Interfaces

doi: 10.3724/SP.J.1146.2007.01462
  • Received Date: 2007-09-13
  • Rev Recd Date: 2008-04-08
  • Publish Date: 2009-02-19
  • For motor related Brain-Computer Interface (BCI), if the sample size is small, Common Spatial Patterns (CSP) algorithm is sensitive to outlier data and lacks of robustness. In this paper, an Adaptive Spatial Filter (ASF) algorithm is proposed to take filtered samples variances as the features and seek the spatial filter to maximize the ratio of two classes means. Unlike CSP, ASF is an iterative algorithm and have soft determination. ASF can adaptively decrease outliers effects according to the updated filters. Using two datasets from BCI competition 2003 and 2005, the experimental results show that ASF outperforms CSP,especially when training samples are few.
  • loading
  • Lemm S, Schafer C, and Curio G. BCI competition 2003-dataset III: Probabilistic modeling of sensorimotor rhythms forclassification of imaginary hand movements [J].IEEE Trans.on Biomedical Engineering.2004, 51(6):1077-1080[2]Li Y Q and Guan C T. A semi-supervised SVM learningalgorithm for joint feature extraction and classification inbrain computer interfaces [C]. The 28th Annual InternationalConference of the IEEE Engineering in Medicine and BiologySociety, New York, USA, Aug.30-Sep.3, 2006: 2570-2573.[3]Lemm S, Blankertz B, and Curio G, et al.. Spatio-spectralfilters for improving the classification of single trial EEG [J].IEEE Trans. on Biomedical Engineering.2005, 52(9):1541-1548[4]McFarland D J, Anderson C W, and Mller K R, et al.. BCImeeting 2005-workshop on BCI signal processing: Featureextraction and translation [J].IEEE Trans. on Neural andRehabilitation Systems Engineering.2006, 14(2):135-138[5]Hammon P S and deSa V R. Preprocessing and metaclassification for brain- computer interfaces [J].IEEE Trans.on Biomedical Engineering.2007, 54(3):518-525[6]Wang Y J, Zhang Z G, and Li Y, et al.. BCI competition2003-data set IV: An algorithm based in CSSD and FDA forclassifying single-trial EEG [J]. IEEE Trans. on BiomedicalEngineering, 2004, 51(6): 1081-1086.[7]Liao X, Yao D Z, and Wu D, et al.. Combining spatial filtersfor the classification of single-trial EEG in a finger movementtask [J].IEEE Trans. on Biomedical Engineering.2007, 54(5):821-831[8]Friedman J, Hastie T, and Tibshirani R. Additive logisticregression: A statistical view of boosting [J]. The Annals ofStatistics, 2000, 28(2): 337-407.[9]Blankertz B, Mller K R, and Curio G, et al.. The BCIcompetition 2003: Progress and perspectives in detection anddiscrimination of EEG single trials [J].IEEE Trans. onBiomedical Engineering.2004, 51(6):1044-1051[10]Wei Q G, Gao X G, and Gao S K. Feature extraction andsubset selection for classifying single-trial ECoG duringmotor imagery [C]. The 28th Annual InternationalConference of the IEEE Engineering in Medicine and BiologySociety, New York, USA, Aug.30-Sep.3, 2006: 1589-1592.[11]Atkeson C G, Moore A W, and Schaal S. Locally weightedlearning [J].Artificial Intelligence Review.1997, 11(15):11-73[12]Yang J and Yang J Y. Why can LDA be performed in PCAtransformed space [J].Pattern Recognition.2003, 36(12):563-566[13]Sun Y J. Iterative RELIEF for feature weighting: algorithms,theories, and applications [J].IEEE Trans. on PatternAnalysis and Machine Intelligence.2007, 29(6):1035-1051
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (3878) PDF downloads(1628) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return