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A Schlögl

Showing results (1-10 of 24) with videos related to

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Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|September 9, 1999
Enhancement of left-right sensorimotor EEG differences during feedback-regulated motor imageryC Neuper, A Schlögl, G Pfurtscheller
Biomedizinische Technik. Biomedical Engineering|March 30, 2002
Estimating the mutual information of an EEG-based Brain-Computer InterfaceA Schlögl, C Neuper, G Pfurtscheller
Biomedizinische Technik. Biomedical Engineering|June 1, 1997
Adaptive autoregressive modeling used for single-trial EEG classificationA Schlögl, D Flotzinger, G Pfurtscheller
Biomedizinische Technik. Biomedical Engineering|April 9, 1999
Design of an EEG-based brain-computer interface (BCI) from standard components running in real-time under WindowsC Guger, A Schlögl, D Walterspacher, et al.
IEEE Transactions on Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 28, 1998
Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parametersG Pfurtscheller, C Neuper, A Schlögl, et al.
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society|July 12, 2001
Standards for biomedical signal databasesA Värri, B Kemp, T Penzel, et al.
Clinical Nephrology|August 1, 1997
Soluble intercellular adhesion molecule-1 (ICAM-1) in serum and urine: correlation with renal expression of ICAM-1 in patients with kidney diseaseK Lhotta, A Schlögl, F Kronenberg, et al.
Biomedizinische Technik. Biomedical Engineering|September 18, 2013
Stimfit: A Fast Visualization and Analysis Environment for Cellular NeurophysiologyA Schlögl, P Jonas, C Schmidt-Hieber, et al.
Biomedizinische Technik. Biomedical Engineering|December 24, 2005
Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimatesC Vidaurre, A Schlögl, R Cabeza, et al.
IEEE Transactions on Bio-Medical Engineering|March 16, 2007
Study of on-line adaptive discriminant analysis for EEG-based brain computer interfacesC Vidaurre, A Schlögl, R Cabeza, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|September 9, 1999
Enhancement of left-right sensorimotor EEG differences during feedback-regulated motor imageryC Neuper, A Schlögl, G Pfurtscheller
Biomedizinische Technik. Biomedical Engineering|March 30, 2002
Estimating the mutual information of an EEG-based Brain-Computer InterfaceA Schlögl, C Neuper, G Pfurtscheller
Biomedizinische Technik. Biomedical Engineering|June 1, 1997
Adaptive autoregressive modeling used for single-trial EEG classificationA Schlögl, D Flotzinger, G Pfurtscheller
Biomedizinische Technik. Biomedical Engineering|April 9, 1999
Design of an EEG-based brain-computer interface (BCI) from standard components running in real-time under WindowsC Guger, A Schlögl, D Walterspacher, et al.
IEEE Transactions on Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 28, 1998
Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parametersG Pfurtscheller, C Neuper, A Schlögl, et al.
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society|July 12, 2001
Standards for biomedical signal databasesA Värri, B Kemp, T Penzel, et al.
Clinical Nephrology|August 1, 1997
Soluble intercellular adhesion molecule-1 (ICAM-1) in serum and urine: correlation with renal expression of ICAM-1 in patients with kidney diseaseK Lhotta, A Schlögl, F Kronenberg, et al.
Biomedizinische Technik. Biomedical Engineering|September 18, 2013
Stimfit: A Fast Visualization and Analysis Environment for Cellular NeurophysiologyA Schlögl, P Jonas, C Schmidt-Hieber, et al.
Biomedizinische Technik. Biomedical Engineering|December 24, 2005
Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimatesC Vidaurre, A Schlögl, R Cabeza, et al.
IEEE Transactions on Bio-Medical Engineering|March 16, 2007
Study of on-line adaptive discriminant analysis for EEG-based brain computer interfacesC Vidaurre, A Schlögl, R Cabeza, et al.
Pageof 3