Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Independent component analysis: algorithms and applications
Neural Networks
Non-linear dimensionality reduction techniques for classification and visualization
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Image Spaces and Video Trajectories: Using Isomap to Explore Video Sequences
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Intelligence and Neuroscience - Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geodesic entropic graphs for dimension and entropy estimation in manifold learning
IEEE Transactions on Signal Processing
Hi-index | 0.00 |
Frequent occurrences of ocular artifacts seriously interfere with the electroencephalogram (EEG) interpretation and analysis. In present study, a novel technique is presented to eliminate ocular artifacts from EEG signals in real-time. The usual operation mode of manifold learning algorithm is modified to improve the effect of ocular artifacts removal. Topographic and spectral features were extracted from the components decomposed by independent component analysis (ICA) from the EEG signals. Then a template-based Isometric Mapping algorithm is proposed to reduce dimensionality of these original features. At last, the samples with low-dimensional features are fed to a classifier, which is selected from several typical classifiers by comparing their classification performances, to identify ocular artifacts components. The classification results show that the template-based Isometric Mapping algorithm with the nearest neighbor classifier performs well. The averaged effects of ocular artifacts removal show that the novel technique can effectively remove ocular artifacts in the real-time application.