EEG Windowed Statisticalwavelet Deviation for Estimation of Muscular Artifacts
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[1] T. Sejnowski,et al. Removing electroencephalographic artifacts by blind source separation. , 2000, Psychophysiology.
[2] M. van de Velde,et al. Signal validation in electroencephalography research , 2000 .
[3] Richard Kronland-Martinet,et al. Analysis of Sound Patterns through Wavelet transforms , 1987, Int. J. Pattern Recognit. Artif. Intell..
[4] J. Pernier,et al. Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.
[5] R. Kass,et al. Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[6] Piotr J. Durka,et al. A simple system for detection of EEG artifacts in polysomnographic recordings , 2003, IEEE Transactions on Biomedical Engineering.
[7] Patrick Berg,et al. Artifact Correction of the Ongoing EEG Using Spatial Filters Based on Artifact and Brain Signal Topographies , 2002, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[8] M. Browne,et al. Low-probability event-detection and separation via statistical wavelet thresholding: an application to psychophysiological denoising , 2002, Clinical Neurophysiology.
[9] V. A. Makarov,et al. Recovering EEG brain signals: Artifact suppression with wavelet enhanced independent component analysis , 2006, Journal of Neuroscience Methods.
[10] Mircea Ariel Schoenfeld,et al. A multivariate, spatiotemporal analysis of electromagnetic time-frequency data of recognition memory , 2003, NeuroImage.
[11] L. Euginia,et al. A wavelet based de-noising technique for ocular artifact correction of the electroencephalogram , 2004, Proceedings. The 8th Russian-Korean International Symposium on Science and Technology, 2004. KORUS 2004..
[12] F Babiloni,et al. Computerized processing of EEG-EOG-EMG artifacts for multi-centric studies in EEG oscillations and event-related potentials. , 2003, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[13] Terrence J. Sejnowski,et al. AUTOMATIC ARTIFACT REJECTION FOR EEG DATA USING HIGH-ORDER STATISTICS AND INDEPENDENT COMPONENT ANALYSIS , 2001 .
[14] Mark M. Stecker,et al. The effects of automatic artifact rejection on evoked potential recordings , 2002, Comput. Biol. Medicine.
[15] A. Schlögl,et al. Artifact Processing in Computerized Analysis of Sleep EEG – A Review , 1999, Neuropsychobiology.
[16] S. Raghavachari,et al. Distinct patterns of brain oscillations underlie two basic parameters of human maze learning. , 2001, Journal of neurophysiology.
[17] D. Rapoport,et al. Interobserver agreement among sleep scorers from different centers in a large dataset. , 2000, Sleep.