Spatial covariance improves BCI performance for late ERPs components with high temporal variability

Aydarkhanov, Ruslan; Ušćumlić, Marija; Chavarriaga, Ricardo; Gheorghe, Lucian; del R Millán, José

doi:10.1088/1741-2552/ab95eb

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
Authors:	Aydarkhanov, Ruslan Ušćumlić, Marija Chavarriaga, Ricardo Gheorghe, Lucian del R Millán, José
et. al:	No
DOI:	10.1088/1741-2552/ab95eb
Published in:	Journal of Neural Engineering
Volume(Issue):	17
Issue:	3
Page(s):	036030
Issue Date:	25-Jun-2020
Publisher / Ed. Institution:	IOP Publishing
ISSN:	1741-2552
Language:	English
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.
URI:	https://infoscience.epfl.ch/record/280708/ https://digitalcollection.zhaw.ch/handle/11475/20509
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, Marija UŠĆUMLIĆ, Ricardo CHAVARRIAGA, Lucian GHEORGHE und José DEL R MILLÁN, 2020. Spatial covariance improves BCI performance for late ERPs components with high temporal variability. Journal of Neural Engineering [online]. 25 Juni 2020. Bd. 17, Nr. 3, S. 036030. DOI 10.1088/1741-2552/ab95eb. Verfügbar unter: https://infoscience.epfl.ch/record/280708/

Aydarkhanov, Ruslan, Marija Ušćumlić, Ricardo Chavarriaga, Lucian Gheorghe, and José del R Millán. 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, 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.