Dynamic time window mechanism for time synchronous VEP-based BCIs—Performance evaluation with a dictionary-supported BCI speller employing SSVEP and c-VEP-Reference-Cited by-同舟云学术

Dynamic time window mechanism for time synchronous VEP-based BCIs—Performance evaluation with a dictionary-supported BCI speller employing SSVEP and c-VEP

Published:2019-06-13 Issue:6 Volume:14 Page:e0218177
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Gembler Felix^ORCID,Stawicki Piotr,Saboor Abdul^ORCID,Volosyak Ivan^ORCID

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference42 articles.

1. Brain–Computer Interfaces for Communication and Control;JR Wolpaw;Clinical Neurophysiology,2002

2. A Brain-Computer Interface Controlled Auditory Event-Related Potential (P300) Spelling System for Locked-In Patients;A Kübler;Annals of the New York Academy of Sciences,2009

3. Brain Computer Interface with the P300 Speller: Usability for Disabled People with Amyotrophic Lateral Sclerosis;V Guy;Annals of Physical and Rehabilitation Medicine,2018

4. Grouping Modulation with Different Codes for Improving Performance in cVEP-Based Brain–Computer Interfaces;Q Wei;Electronics Letters,2017

5. Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis;M Nakanishi;IEEE Transactions on Biomedical Engineering,2018

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of Different Visual Feedback Methods for Brain—Computer Interfaces (BCI) Based on Code-Modulated Visual Evoked Potentials (cVEP);Brain Sciences;2024-08-22

2. Leveraging Grating-Based Flickers: A Leap Toward Practical, Visually Comfortable, and High-Performance Dry EEG Code-VEP BCI;2024-07-22

3. Algorithm-Hardware Co-Design for Wearable BCIs: An Evolution from Linear Algebra to Transformers;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

4. Advanced Electrode Technologies for Noninvasive Brain–Computer Interfaces;ACS Nano;2023-12-08

5. Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience;NeuroImage;2023-12