Prediction of Event Related Potential Speller Performance Using Resting-State EEG
May 04, 2020 Β· Declared Dead Β· π Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Authors
Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim, Seong-Whan Lee
arXiv ID
2005.01325
Category
cs.HC: Human-Computer Interaction
Cross-listed
eess.SP,
q-bio.NC
Citations
3
Venue
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Last Checked
4 months ago
Abstract
Event-related potential (ERP) speller can be utilized in device control and communication for locked-in or severely injured patients. However, problems such as inter-subject performance instability and ERP-illiteracy are still unresolved. Therefore, it is necessary to predict classification performance before performing an ERP speller in order to use it efficiently. In this study, we investigated the correlations with ERP speller performance using a resting-state before an ERP speller. In specific, we used spectral power and functional connectivity according to four brain regions and five frequency bands. As a result, the delta power in the frontal region and functional connectivity in the delta, alpha, gamma bands are significantly correlated with the ERP speller performance. Also, we predicted the ERP speller performance using EEG features in the resting-state. These findings may contribute to investigating the ERP-illiteracy and considering the appropriate alternatives for each user.
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