Modeling the P300-based brain-computer interface as a channel with memory

Published

Conference Paper

© 2016 IEEE. The P300 speller is a brain-computer interface that enables people with severe neuromuscular disorders to communicate. It is based on eliciting and detecting event-related potentials (ERP) in electroencephalography (EEG) measurements, in response to rare target stimulus events. One of the challenges to fast and reliable communication is the fact that the P300-based ERP has a refractory period that induces temporal dependence in the user's EEG responses. Refractory effects negatively affects the performance of the speller. The contribution of this paper is to provide a model for the P300 speller as a communication process with memory to account for refractory effects. Using this model, we design codebooks that maximize the mutual information rate between the user's desired characters and the measured EEG responses to the stimulus events. We show simulation results that compare our codebook with other codebooks described in literature.

Full Text

Duke Authors

Cited Authors

  • Mayya, V; Mainsah, B; Reeves, G

Published Date

  • February 10, 2017

Published In

  • 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016

Start / End Page

  • 23 - 30

International Standard Book Number 13 (ISBN-13)

  • 9781509045495

Digital Object Identifier (DOI)

  • 10.1109/ALLERTON.2016.7852206

Citation Source

  • Scopus