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  1. Medical and Biological Engineering and Computing
  2. Medical and Biological Engineering and Computing : Volume 44
  3. Medical and Biological Engineering and Computing : Volume 44, Issue 10, October 2006
  4. Adaptive feature extraction for EEG signal classification
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Medical and Biological Engineering and Computing : Volume 55
Medical and Biological Engineering and Computing : Volume 54
Medical and Biological Engineering and Computing : Volume 53
Medical and Biological Engineering and Computing : Volume 52
Medical and Biological Engineering and Computing : Volume 51
Medical and Biological Engineering and Computing : Volume 50
Medical and Biological Engineering and Computing : Volume 49
Medical and Biological Engineering and Computing : Volume 48
Medical and Biological Engineering and Computing : Volume 47
Medical and Biological Engineering and Computing : Volume 46
Medical and Biological Engineering and Computing : Volume 45
Medical and Biological Engineering and Computing : Volume 44
Medical and Biological Engineering and Computing : Volume 44, Issue 12, December 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 11, November 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 10, October 2006
Neonatal pain analyzer: development and validation
Linear and nonlinear fetal heart rate analysis of normal and acidemic fetuses in the minutes preceding delivery
Finite difference and lead field methods in designing implantable ECG monitor
Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion
Total body water measurement by a modification of the bioimpedance spectroscopy method
Gabor filters and phase portraits for the detection of architectural distortion in mammograms ( Medical and Biological Engineering and Computing , Volume 44 , Issue 10 )
3D femoral neck anteversion measurements based on the posterior femoral plane in ORTHODOC$^{®}$ system
Stability analysis of paraplegic standing while wearing an orthosis ( Medical and Biological Engineering and Computing , Volume 44 , Issue 10 )
Performance enhancement for audio-visual speaker identification using dynamic facial muscle model
Adaptive feature extraction for EEG signal classification
Gabor filters and phase portraits for the detection of architectural distortion in mammograms ( Medical and Biological Engineering and Computing , Volume 44 , Issue 10 )
Stability analysis of paraplegic standing while wearing an orthosis ( Medical and Biological Engineering and Computing , Volume 44 , Issue 10 )
Medical and Biological Engineering and Computing : Volume 44, Issue 9, September 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 8, August 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 7, July 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 6, June 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 5, May 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 4, April 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 3, March 2006
Medical and Biological Engineering and Computing : Volume 44, Issue 1-2, March 2006
Medical and Biological Engineering and Computing : Volume 43
Medical and Biological Engineering and Computing : Volume 42
Medical and Biological Engineering and Computing : Volume 41
Medical and Biological Engineering and Computing : Volume 40
Medical and Biological Engineering and Computing : Volume 39
Medical and Biological Engineering and Computing : Volume 38
Medical and Biological Engineering and Computing : Volume 37
Medical and Biological Engineering and Computing : Volume 36
Medical and Biological Engineering and Computing : Volume 35

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Adaptive feature extraction for EEG signal classification

Content Provider SpringerLink
Author Sun, Shiliang Zhang, Changshui
Copyright Year 2006
Abstract One challenge in the current research of brain–computer interfaces (BCIs) is how to classify time-varying electroencephalographic (EEG) signals as accurately as possible. In this paper, we address this problem from the aspect of updating feature extractors and propose an adaptive feature extractor, namely adaptive common spatial patterns (ACSP). Through the weighed update of signal covariances, the most discriminative features related to the current brain states are extracted by the method of multi-class common spatial patterns (CSP). Pseudo-online simulations of EEG signal classification with a support vector machine (SVM) classifier for multi-class mental imagery tasks show the effectiveness of the proposed adaptive feature extractor.
Starting Page 931
Ending Page 935
Page Count 5
File Format PDF
ISSN 01400118
Journal Medical and Biological Engineering and Computing
Volume Number 44
Issue Number 10
e-ISSN 17410444
Language English
Publisher Springer-Verlag
Publisher Date 2006-09-12
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Brain–computer interface (BCI) Common spatial patterns (CSP) EEG signal classification Feature extraction Neurosciences Computer Applications Imaging Radiology Human Physiology Biomedical Engineering
Content Type Text
Resource Type Article
Subject Biomedical Engineering Computer Science Applications
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