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

Grupo de Investigación en Electrónica y Telemática (GIETEC)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

7 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	2018 6th International Conference on Brain-Computer Interface, BCI 2018
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	1-4
Número de páginas	4
ISBN (versión digital)	9781538625743
DOI	https://doi.org/10.1109/IWW-BCI.2018.8311497
Estado	Publicada - 9 mar. 2018
Evento	6th International Conference on Brain-Computer Interface, BCI 2018 - GangWon, República de Corea Duración: 15 ene. 2018 → 17 ene. 2018

Serie de la publicación

Nombre	2018 6th International Conference on Brain-Computer Interface, BCI 2018
Volumen	2018-January

Conferencia

Conferencia	6th International Conference on Brain-Computer Interface, BCI 2018
País/Territorio	República de Corea
Ciudad	GangWon
Período	15/01/18 → 17/01/18

Nota bibliográfica

Publisher Copyright:
© 2018 IEEE.

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10.1109/IWW-BCI.2018.8311497

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Changoluisa, V., Varona, P., & Rodriguez, F. B. (2018). An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability. En 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).

@inproceedings{df295f9400bc4dbf97ed7375febf1023,

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.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on Brain-Computer Interface, BCI 2018 ; Conference date: 15-01-2018 Through 17-01-2018",

year = "2018",

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doi = "10.1109/IWW-BCI.2018.8311497",

language = "English",

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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. En 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, República de Corea, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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T1 - An electrode selection approach in P300-based BCIs to address inter- A nd intra-subject variability

AU - Changoluisa, Vinicio

AU - Varona, Pablo

AU - Rodriguez, Francisco B.

PY - 2018/3/9

Y1 - 2018/3/9

N2 - 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.

AB - 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.

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KW - Brain Computer Interface (BCI)

KW - Event-related potentia (ERP)

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KW - P300 component

KW - Personalized Brain-Machine Interfaces

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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. En 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

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