An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability

Vinicio Changoluisa; Pablo Varona; Francisco B. Rodriguez

doi:10.1109/IWW-BCI.2018.8311497

An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability

Vinicio Changoluisa, Pablo Varona, Francisco B. Rodriguez

Electronics and Telematics Research Group (GIETEC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Brain Computer Interface (BCI) technologies use neural activity to implement a direct communication channel for healthy and disable subjects. To achieve this, many investigations look to improve BCI precision by increasing the number of electrodes with standard configurations, ignoring inter- A nd intra-subject variability. To control this variability in event-related potential (ERP)-based BCIs we propose to investigate the cumulative peak difference, an intrinsic characteristic of ERP, as a measure for electrode selection. The results shown in this work indicate that the proposed method improved accuracy and bitrate in all analyzed electrode sets. Our work contributes to the management of inter- A nd intra-subject variability which helps to design accurate and low-cost BCIs.

Original language	English
Title of host publication	2018 6th International Conference on Brain-Computer Interface, BCI 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538625743
DOIs	https://doi.org/10.1109/IWW-BCI.2018.8311497
State	Published - 9 Mar 2018
Event	6th International Conference on Brain-Computer Interface, BCI 2018 - GangWon, Korea, Republic of Duration: 15 Jan 2018 → 17 Jan 2018

Publication series

Name	2018 6th International Conference on Brain-Computer Interface, BCI 2018
Volume	2018-January

Conference

Conference	6th International Conference on Brain-Computer Interface, BCI 2018
Country/Territory	Korea, Republic of
City	GangWon
Period	15/01/18 → 17/01/18

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was funded by Spanish projects of Ministerio de Economía y Competitividad/FEDER TIN2014-54580-R, DPI2015-65833-P (http://www.mineco.gob.es/) and Predoctoral Research Grants 2015-AR2Q9086 of the Government of Ecuador through the SENESCYT.

Publisher Copyright:
© 2018 IEEE.

Keywords

Bayesian Linear Discriminant Analysis (BLDA)
Brain Computer Interface (BCI)
Event-related potentia (ERP)
Inter-subject variability
Intra-subject variability
P300 component
Personalized Brain-Machine Interfaces

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10.1109/IWW-BCI.2018.8311497

Cite this

Changoluisa, V., Varona, P., & Rodriguez, F. B. (2018). An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability. In 2018 6th International Conference on Brain-Computer Interface, BCI 2018 (pp. 1-4). (2018 6th International Conference on Brain-Computer Interface, BCI 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2018.8311497

Changoluisa, Vinicio ; Varona, Pablo ; Rodriguez, Francisco B. / An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability. 2018 6th International Conference on Brain-Computer Interface, BCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4 (2018 6th International Conference on Brain-Computer Interface, BCI 2018).

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title = "An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability",

abstract = "Brain Computer Interface (BCI) technologies use neural activity to implement a direct communication channel for healthy and disable subjects. To achieve this, many investigations look to improve BCI precision by increasing the number of electrodes with standard configurations, ignoring inter- A nd intra-subject variability. To control this variability in event-related potential (ERP)-based BCIs we propose to investigate the cumulative peak difference, an intrinsic characteristic of ERP, as a measure for electrode selection. The results shown in this work indicate that the proposed method improved accuracy and bitrate in all analyzed electrode sets. Our work contributes to the management of inter- A nd intra-subject variability which helps to design accurate and low-cost BCIs.",

keywords = "Bayesian Linear Discriminant Analysis (BLDA), Brain Computer Interface (BCI), Event-related potentia (ERP), Inter-subject variability, Intra-subject variability, P300 component, Personalized Brain-Machine Interfaces",

author = "Vinicio Changoluisa and Pablo Varona and Rodriguez, {Francisco B.}",

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Changoluisa, V, Varona, P & Rodriguez, FB 2018, An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability. in 2018 6th International Conference on Brain-Computer Interface, BCI 2018. 2018 6th International Conference on Brain-Computer Interface, BCI 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 6th International Conference on Brain-Computer Interface, BCI 2018, GangWon, Korea, Republic of, 15/01/18. https://doi.org/10.1109/IWW-BCI.2018.8311497

An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability. / Changoluisa, Vinicio; Varona, Pablo; Rodriguez, Francisco B.
2018 6th International Conference on Brain-Computer Interface, BCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (2018 6th International Conference on Brain-Computer Interface, BCI 2018; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Changoluisa V, Varona P, Rodriguez FB. An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability. In 2018 6th International Conference on Brain-Computer Interface, BCI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (2018 6th International Conference on Brain-Computer Interface, BCI 2018). doi: 10.1109/IWW-BCI.2018.8311497

An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability

Abstract

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