Single-Trial Multi-channel N170 Estimation Using Linear Discriminant Analysis (LDA)
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 bas...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Chapter |
| Published: |
Springer Heidelberg Dordrecht
2012
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| Online Access: | http://link.springer.com/chapter/10.1007/978-3-642-34478-7_43 http://hdl.handle.net/20.500.11937/35147 |
| Summary: | 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. |
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