A fuzzy genetic algorithm for optimal spatial filter selection for P300-based brain computer interfaces

David Achanccaray; Christian Flores; Christian Fonseca; Javier Andreu-Perez

doi:10.1109/FUZZ-IEEE.2018.8491676

A fuzzy genetic algorithm for optimal spatial filter selection for P300-based brain computer interfaces

David Achanccaray, Christian Flores, Christian Fonseca, Javier Andreu-Perez

Department of Electrical and Mechatronics Engineering

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

3 Scopus citations

Abstract

A fuzzy genetic algorithm to optimize spatial filter selection can improve the performance of P300-based brain computer interfaces (BCI); genetic algorithm searches an optimal configuration supported by a fuzzy inference system, it would reduce the error calculated during a 4 fold crossvalidation. The performance is measured through the accuracy and the bit rate, 4 methods based on fuzzy logic and Bayesian linear discriminant analysis are considered for the performance comparison. This proposed method has obtained significant results for healthy persons and post stroke patients, accuracies above 90% and bit rates greater than 8 bits/min for the most of cases evaluated in a P300-based BCI using the Hoffman approach.

Original language	English
Title of host publication	2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509060207
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2018.8491676
State	Published - 12 Oct 2018
Event	2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Rio de Janeiro, Brazil Duration: 8 Jul 2018 → 13 Jul 2018

Publication series

Name	IEEE International Conference on Fuzzy Systems
Volume	2018-July
ISSN (Print)	1098-7584

Conference

Conference	2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018
Country/Territory	Brazil
City	Rio de Janeiro
Period	8/07/18 → 13/07/18

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10.1109/FUZZ-IEEE.2018.8491676

Cite this

Achanccaray, D., Flores, C., Fonseca, C., & Andreu-Perez, J. (2018). A fuzzy genetic algorithm for optimal spatial filter selection for P300-based brain computer interfaces. In 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings Article 8491676 (IEEE International Conference on Fuzzy Systems; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZ-IEEE.2018.8491676

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title = "A fuzzy genetic algorithm for optimal spatial filter selection for P300-based brain computer interfaces",

abstract = "A fuzzy genetic algorithm to optimize spatial filter selection can improve the performance of P300-based brain computer interfaces (BCI); genetic algorithm searches an optimal configuration supported by a fuzzy inference system, it would reduce the error calculated during a 4 fold crossvalidation. The performance is measured through the accuracy and the bit rate, 4 methods based on fuzzy logic and Bayesian linear discriminant analysis are considered for the performance comparison. This proposed method has obtained significant results for healthy persons and post stroke patients, accuracies above 90% and bit rates greater than 8 bits/min for the most of cases evaluated in a P300-based BCI using the Hoffman approach.",

author = "David Achanccaray and Christian Flores and Christian Fonseca and Javier Andreu-Perez",

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Achanccaray, D, Flores, C, Fonseca, C & Andreu-Perez, J 2018, A fuzzy genetic algorithm for optimal spatial filter selection for P300-based brain computer interfaces. in 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings., 8491676, IEEE International Conference on Fuzzy Systems, vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018, Rio de Janeiro, Brazil, 8/07/18. https://doi.org/10.1109/FUZZ-IEEE.2018.8491676

A fuzzy genetic algorithm for optimal spatial filter selection for P300-based brain computer interfaces. / Achanccaray, David; Flores, Christian; Fonseca, Christian et al.
2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8491676 (IEEE International Conference on Fuzzy Systems; Vol. 2018-July).

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

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PY - 2018/10/12

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N2 - A fuzzy genetic algorithm to optimize spatial filter selection can improve the performance of P300-based brain computer interfaces (BCI); genetic algorithm searches an optimal configuration supported by a fuzzy inference system, it would reduce the error calculated during a 4 fold crossvalidation. The performance is measured through the accuracy and the bit rate, 4 methods based on fuzzy logic and Bayesian linear discriminant analysis are considered for the performance comparison. This proposed method has obtained significant results for healthy persons and post stroke patients, accuracies above 90% and bit rates greater than 8 bits/min for the most of cases evaluated in a P300-based BCI using the Hoffman approach.

AB - A fuzzy genetic algorithm to optimize spatial filter selection can improve the performance of P300-based brain computer interfaces (BCI); genetic algorithm searches an optimal configuration supported by a fuzzy inference system, it would reduce the error calculated during a 4 fold crossvalidation. The performance is measured through the accuracy and the bit rate, 4 methods based on fuzzy logic and Bayesian linear discriminant analysis are considered for the performance comparison. This proposed method has obtained significant results for healthy persons and post stroke patients, accuracies above 90% and bit rates greater than 8 bits/min for the most of cases evaluated in a P300-based BCI using the Hoffman approach.

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Achanccaray D, Flores C, Fonseca C, Andreu-Perez J. A fuzzy genetic algorithm for optimal spatial filter selection for P300-based brain computer interfaces. In 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8491676. (IEEE International Conference on Fuzzy Systems). doi: 10.1109/FUZZ-IEEE.2018.8491676

A fuzzy genetic algorithm for optimal spatial filter selection for P300-based brain computer interfaces

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