A comparison of different dimensionality reduction and feature selection methods for single trial ERP detection

Tian Lan; Deniz Erdogmus; Lois Black; Jan Van Santen

doi:10.1109/IEMBS.2010.5627642

A comparison of different dimensionality reduction and feature selection methods for single trial ERP detection

Tian Lan, Deniz Erdogmus, Lois Black, Jan Van Santen

Institute on Development and Disability

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

9 Scopus citations

Abstract

Dimensionality reduction and feature selection is an important aspect of electroencephalography based event related potential detection systems such as brain computer interfaces. In our study, a predefined sequence of letters was presented to subjects in a Rapid Serial Visual Presentation (RSVP) paradigm. EEG data were collected and analyzed offline. A linear discriminant analysis (LDA) classifier was designed as the ERP (Event Related Potential) detector for its simplicity. Different dimensionality reduction and feature selection methods were applied and compared in a greedy wrapper framework. Experimental results showed that PCA with the first 10 principal components for each channel performed best and could be used in both online and offline systems.

Original language	English (US)
Title of host publication	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages	6329-6332
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2010.5627642
State	Published - 2010
Event	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duration: Aug 31 2010 → Sep 4 2010

Publication series

Name	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Other

Other	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/Territory	Argentina
City	Buenos Aires
Period	8/31/10 → 9/4/10

ASJC Scopus subject areas

Biomedical Engineering
Computer Vision and Pattern Recognition
Signal Processing
Health Informatics

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10.1109/IEMBS.2010.5627642

Cite this

Lan, T., Erdogmus, D., Black, L., & Van Santen, J. (2010). A comparison of different dimensionality reduction and feature selection methods for single trial ERP detection. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 6329-6332). Article 5627642 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). https://doi.org/10.1109/IEMBS.2010.5627642

A comparison of different dimensionality reduction and feature selection methods for single trial ERP detection. / Lan, Tian; Erdogmus, Deniz; Black, Lois et al.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 6329-6332 5627642 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

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

Lan, T, Erdogmus, D, Black, L & Van Santen, J 2010, A comparison of different dimensionality reduction and feature selection methods for single trial ERP detection. in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5627642, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, pp. 6329-6332, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 8/31/10. https://doi.org/10.1109/IEMBS.2010.5627642

Lan T, Erdogmus D, Black L, Van Santen J. A comparison of different dimensionality reduction and feature selection methods for single trial ERP detection. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 6329-6332. 5627642. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). doi: 10.1109/IEMBS.2010.5627642

Lan, Tian ; Erdogmus, Deniz ; Black, Lois et al. / A comparison of different dimensionality reduction and feature selection methods for single trial ERP detection. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. pp. 6329-6332 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

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abstract = "Dimensionality reduction and feature selection is an important aspect of electroencephalography based event related potential detection systems such as brain computer interfaces. In our study, a predefined sequence of letters was presented to subjects in a Rapid Serial Visual Presentation (RSVP) paradigm. EEG data were collected and analyzed offline. A linear discriminant analysis (LDA) classifier was designed as the ERP (Event Related Potential) detector for its simplicity. Different dimensionality reduction and feature selection methods were applied and compared in a greedy wrapper framework. Experimental results showed that PCA with the first 10 principal components for each channel performed best and could be used in both online and offline systems.",

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A comparison of different dimensionality reduction and feature selection methods for single trial ERP detection

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