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Single-Trial Multi-channel N170 Estimation Using Linear Discriminant Analysis (LDA)

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Lee, Wee
Tan, Tele
Falkmer, Torbjorn
Leung, Yee-Hong
Date
2012
Type
Book Chapter

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Lee, Wee Lih and Tan, Tele and Falkmer, Torbjorn and Leung, Yee Hong. 2012. Single-Trial Multi-channel N170 Estimation Using Linear Discriminant Analysis (LDA), in Huang, T. and Zeng, Z. and Li, C. and Leung, C. S. (ed), Neural Information Processing 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV. pp. 347-355. London, New York: Springer Heidelberg Dordrecht.
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Neural Information Processing 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV
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Abstract

N170 is one of the event-related potentials (ERPs) that have been extensively used to study the neurological response of a subject when presented with a visual face stimulus. Although many N170 experiments have been performed with multi-channel EEG recordings, most of the N170 analyses are still based on trial-averaged signals from one or a few selected electrodes. Not only does this method under utilise the information from all available electrodes, it inhibits a trial-to-trial analysis of N170. We address this issue by proposing a single-trial multi-channel N170 estimation method that estimates the latency, amplitude and scalp projection of N170 using a linear classifier-based approach.