Recursive channel selection techniques for brain computer interfaces

Gareth Oliver; Peter Sunehag; Tom Gedeon

doi:10.1109/EMBC.2012.6346288

Recursive channel selection techniques for brain computer interfaces

Gareth Oliver^*, Peter Sunehag, Tom Gedeon

^*Corresponding author for this work

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

Abstract

Automated channel selection allows the dimension of EEG data to be reduced without expert knowledge. We introduce Recursive Channel Insertion, an extension to Recursive Channel Elimination, which dramatically reduces calculation time with no loss of accuracy. Furthermore we propose Repeated Recursive Channel Insertion, which shows an improvement in accuracy over the previous methods when tested on a standard dataset.

Original language	English
Title of host publication	2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages	1753-1756
Number of pages	4
DOIs	https://doi.org/10.1109/EMBC.2012.6346288
Publication status	Published - 2012
Event	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States Duration: 28 Aug 2012 → 1 Sept 2012

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Country/Territory	United States
City	San Diego, CA
Period	28/08/12 → 1/09/12

Access to Document

10.1109/EMBC.2012.6346288

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Oliver, G., Sunehag, P., & Gedeon, T. (2012). Recursive channel selection techniques for brain computer interfaces. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 (pp. 1753-1756). Article 6346288 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2012.6346288

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title = "Recursive channel selection techniques for brain computer interfaces",

abstract = "Automated channel selection allows the dimension of EEG data to be reduced without expert knowledge. We introduce Recursive Channel Insertion, an extension to Recursive Channel Elimination, which dramatically reduces calculation time with no loss of accuracy. Furthermore we propose Repeated Recursive Channel Insertion, which shows an improvement in accuracy over the previous methods when tested on a standard dataset.",

author = "Gareth Oliver and Peter Sunehag and Tom Gedeon",

year = "2012",

doi = "10.1109/EMBC.2012.6346288",

language = "English",

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pages = "1753--1756",

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note = "34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 ; Conference date: 28-08-2012 Through 01-09-2012",

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Oliver, G, Sunehag, P & Gedeon, T 2012, Recursive channel selection techniques for brain computer interfaces. in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012., 6346288, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 1753-1756, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012, San Diego, CA, United States, 28/08/12. https://doi.org/10.1109/EMBC.2012.6346288

Recursive channel selection techniques for brain computer interfaces. / Oliver, Gareth; Sunehag, Peter; Gedeon, Tom.
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. 2012. p. 1753-1756 6346288 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

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AB - Automated channel selection allows the dimension of EEG data to be reduced without expert knowledge. We introduce Recursive Channel Insertion, an extension to Recursive Channel Elimination, which dramatically reduces calculation time with no loss of accuracy. Furthermore we propose Repeated Recursive Channel Insertion, which shows an improvement in accuracy over the previous methods when tested on a standard dataset.

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Oliver G, Sunehag P, Gedeon T. Recursive channel selection techniques for brain computer interfaces. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012. 2012. p. 1753-1756. 6346288. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2012.6346288

Recursive channel selection techniques for brain computer interfaces

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