|Publication type:||Article in scientific journal|
|Type of review:||Peer review (publication)|
|Title:||Spatial covariance improves BCI performance for late ERPs components with high temporal variability|
del R Millán, José
|Published in:||Journal of Neural Engineering|
|Publisher / Ed. Institution:||IOP Publishing|
|Subject (DDC):||004: Computer science|
|Abstract:||Event Related Potentials (ERPs) reflecting cognitive response to external stimuli, are widely used in brain computer interfaces. ERP waveforms are characterized by a series of components of particular latency and amplitude. The classical ERP decoding methods exploit this waveform characteristic and thus achieve a high performance only if there is sufficient time- and phase-locking across trials. The required condition is not fulfilled if the experimental tasks are challenging or if it is needed to generalize across various experimental conditions. Features based on spatial covariances across channels can potentially overcome the latency jitter and delays since they aggregate the information across time.|
|Fulltext version:||Published version|
|License (according to publishing contract):||Licence according to publishing contract|
|Departement:||School of Engineering|
|Organisational Unit:||Institute of Applied Information Technology (InIT)|
|Appears in collections:||Publikationen School of Engineering|
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Aydarkhanov, R., Ušćumlić, M., Chavarriaga, R., Gheorghe, L., & del R Millán, J. (2020). Spatial covariance improves BCI performance for late ERPs components with high temporal variability. Journal of Neural Engineering, 17(3), 36030. https://doi.org/10.1088/1741-2552/ab95eb
Aydarkhanov, R. et al. (2020) ‘Spatial covariance improves BCI performance for late ERPs components with high temporal variability’, Journal of Neural Engineering, 17(3), p. 036030. Available at: https://doi.org/10.1088/1741-2552/ab95eb.
R. Aydarkhanov, M. Ušćumlić, R. Chavarriaga, L. Gheorghe, and J. del R Millán, “Spatial covariance improves BCI performance for late ERPs components with high temporal variability,” Journal of Neural Engineering, vol. 17, no. 3, p. 036030, Jun. 2020, doi: 10.1088/1741-2552/ab95eb.
Aydarkhanov, Ruslan, et al. “Spatial Covariance Improves BCI Performance for Late ERPs Components with High Temporal Variability.” Journal of Neural Engineering, vol. 17, no. 3, June 2020, p. 36030, https://doi.org/10.1088/1741-2552/ab95eb.
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