Latency analysis of single auditory evoked M100 responses by spatio-temporal filtering.
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L Trahms | C Elster | M Burghoff | A Link | G Wübbeler
[1] Lutz Trahms,et al. Variability of the QRS signal in high-resolution electrocardiograms and magnetocardiograms , 2001, IEEE Transactions on Biomedical Engineering.
[2] P. Switzer,et al. A transformation for ordering multispectral data in terms of image quality with implications for noise removal , 1988 .
[3] Lucas C. Parra,et al. Recipes for the linear analysis of EEG , 2005, NeuroImage.
[4] G. Pfurtscheller,et al. Designing optimal spatial filters for single-trial EEG classification in a movement task , 1999, Clinical Neurophysiology.
[5] Y. Adachi,et al. Magnetoencephalogram systems developed at KIT , 1999, IEEE Transactions on Applied Superconductivity.
[6] T. Gasser,et al. Variable latencies of noisy signals: Estimation and testing in brain potential data , 1987 .
[7] D. Poeppel,et al. Peri‐threshold encoding of stimulus frequency and intensity in the M100 latency , 1998, Neuroreport.
[8] Yan Wang,et al. Contrasting single-trial ERPs between experimental manipulations: Improving differentiability by blind source separation , 2006, NeuroImage.
[9] P. Jaskowski,et al. Amplitudes and latencies of single-trial ERP's estimated by a maximum-likelihood method , 1999, IEEE Transactions on Biomedical Engineering.
[10] D. Liberati,et al. A parametric method of identification of single-trial event-related potentials in the brain , 1988, IEEE Transactions on Biomedical Engineering.
[11] R. E. Roger. A faster way to compute the noise-adjusted principal components transform matrix , 1994, IEEE Trans. Geosci. Remote. Sens..
[12] T. Sejnowski,et al. Dynamic Brain Sources of Visual Evoked Responses , 2002, Science.
[13] L Trahms,et al. A template-free approach for determining the latency of single events of auditory evoked M100. , 2005, Physics in medicine and biology.
[14] J. B. Lee,et al. Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform , 1990 .
[15] David Poeppel,et al. Systematic latency variation of the auditory evoked M100: from average to single-trial data , 2004, NeuroImage.
[16] Hannu Tiitinen,et al. Auditory event-related responses are generated independently of ongoing brain activity , 2005, NeuroImage.
[17] Klaus-Robert Müller,et al. Spatio-spectral filters for improving the classification of single trial EEG , 2005, IEEE Transactions on Biomedical Engineering.
[18] M. von Spreckelsen,et al. Estimation of single-evoked cerebral potentials by means of parametric modeling and Kalman filtering , 1988, IEEE Transactions on Biomedical Engineering.
[19] H. Heinrich,et al. Single-sweep analysis of event-related potentials by wavelet networks-methodological basis and clinical application , 1999, IEEE Transactions on Biomedical Engineering.
[20] Qian Du,et al. Interference and noise-adjusted principal components analysis , 1999, IEEE Trans. Geosci. Remote. Sens..
[21] W. Klimesch,et al. Alpha phase synchronization predicts P1 and N1 latency and amplitude size. , 2005, Cerebral cortex.
[22] G. Pfurtscheller,et al. Optimal spatial filtering of single trial EEG during imagined hand movement. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.