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Time-Dependent Demixing of Task-Relevant EEG Signals
Given a spatial filtering algorithm that has allowed us to identify task-relevant EEG sources, we present a simple approach for monitoring the activity of these sources while remaining relatively robust to changes in other (task-irrelevant) brain activity. The idea is to keep spatial *patterns* fixed rather than spatial filters, when transferring from training to test sessions or from one time window to another. We show that a fixed spatial pattern (FSP) approach, using a moving-window estimate of signal covariances, can be more robust to non-stationarity than a fixed spatial filter (FSF) approach.
@inproceedings{4244, title = {Time-Dependent Demixing of Task-Relevant EEG Signals}, journal = {Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006}, booktitle = {Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006}, abstract = {Given a spatial filtering algorithm that has allowed us to identify task-relevant EEG sources, we present a simple approach for monitoring the activity of these sources while remaining relatively robust to changes in other (task-irrelevant) brain activity. The idea is to keep spatial *patterns* fixed rather than spatial filters, when transferring from training to test sessions or from one time window to another. We show that a fixed spatial pattern (FSP) approach, using a moving-window estimate of signal covariances, can be more robust to non-stationarity than a fixed spatial filter (FSF) approach.}, pages = {20-21}, editors = {GR M{\"u}ller-Putz and C Brunner and R Leeb and R Scherer and A Schl{\"o}gl and S Wriessnegger and G Pfurtscheller}, publisher = {Verlag der Technischen Universit{\"a}t Graz}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Graz, Austria}, month = sep, year = {2006}, slug = {4244}, author = {Hill, NJ. and Farquhar, J. and Lal, TN. and Sch{\"o}lkopf, B.}, month_numeric = {9} }