A comparison of two spelling Brain-Computer Interfaces based on visual P3 and SSVEP in Locked-In Syndrome.
<h4>Objectives</h4>We study the applicability of a visual P3-based and a Steady State Visually Evoked Potentials (SSVEP)-based Brain-Computer Interfaces (BCIs) for mental text spelling on a cohort of patients with incomplete Locked-In Syndrome (LIS).<h4>Methods</h4>Seven pati...
Saved in:
Main Authors: | Adrien Combaz, Camille Chatelle, Arne Robben, Gertie Vanhoof, Ann Goeleven, Vincent Thijs, Marc M Van Hulle, Steven Laureys |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2013
|
Subjects: | |
Online Access: | https://doaj.org/article/40cade6fb5bc4e69a5fa15ced2b4c9bf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiple frequencies sequential coding for SSVEP-based brain-computer interface.
by: Yangsong Zhang, et al.
Published: (2012) -
SSVEP phase synchronies and propagation during repetitive visual stimulation at high frequencies
by: Tsvetomira Tsoneva, et al.
Published: (2021) -
Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items
by: Arkadiusz Kubacki
Published: (2021) -
Distinct neural sources underlying visual word form processing as revealed by steady state visual evoked potentials (SSVEP)
by: Fang Wang, et al.
Published: (2021) -
Filter Bank Convolutional Neural Network for SSVEP Classification
by: Dechun Zhao, et al.
Published: (2021)