Channel reflection: Knowledge-driven data augmentation for EEG-based brain–computer interfaces-Reference-Cited by-同舟云学术

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Channel reflection: Knowledge-driven data augmentation for EEG-based brain–computer interfaces

Published:2024-08 Issue: Volume:176 Page:106351
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Wang Ziwei^ORCID,Li Siyang,Luo Jingwei,Liu Jiajing,Wu Dongrui^ORCID

Publisher

Elsevier BV

Reference54 articles.

1. A comprehensive review of EEG-based brain-computer interface paradigms;Abiri;Journal of Neural Engineering,2019

2. Automated EEG analysis of epilepsy: A review;Acharya;Knowledge-Based Systems,2013

3. Influence of P300 latency jitter on event related potential-based brain–computer interface performance;Aricò;Journal of Neural Engineering,2014

4. The non-invasive Berlin brain–computer interface: Fast acquisition of effective performance in untrained subjects;Blankertz;NeuroImage,2007

5. Optimizing spatial filters for robust EEG single-trial analysis;Blankertz;IEEE Signal Processing Magazine,2008

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