Subject-Independent ERP-Based Brain–Computer Interfaces
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/8332643/08304676.pdf?arnumber=8304676
Cited by 15 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. Eliminating or Shortening the Calibration for a P300 Brain–Computer Interface Based on a Convolutional Neural Network and Big Electroencephalography Data: An Online Study;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023
2. Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects;IEEE Transactions on Human-Machine Systems;2022-10
3. A physiological status diagnosis method using tensor-based regularization;2022 IEEE 18th International Conference on Automation Science and Engineering (CASE);2022-08-20
4. A One-Step Physiological Status Assessment Method Fusing Subject-Variant Information;IEEE Transactions on Automation Science and Engineering;2022
5. Ensemble Voting-Based Multichannel EEG Classification in a Subject-Independent P300 Speller;Applied Sciences;2021-11-26
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