Data augmentation for Convolutional LSTM based brain computer interface system-Reference-Cited by-同舟云学术

Data augmentation for Convolutional LSTM based brain computer interface system

Published:2022-06 Issue: Volume:122 Page:108811
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Takahashi Kahoko,Sun Zhe^ORCID,Solé-Casals Jordi^ORCID,Cichocki Andrzej^ORCID,Phan Anh Huy,Zhao Qibin,Zhao Hui-Hai^ORCID,Deng Shangkun,Micheletto Ruggero^ORCID

Funder

European Cooperation in Science and Technology

Publisher

Elsevier BV

Subject

Software

Reference29 articles.

1. Brain–computer interfaces for communication and control;Wolpaw;Clin. Neurophysiol.,2002

2. Brain–computer interface technologies in the coming decades;Lance;Proc. IEEE,2012

3. Brain-computer interfaces: Beyond medical applications;V.;Computer,2012

4. Brain computer interfaces, a review;N. Luis Fernando;Sensors,2012

5. A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update;Lotte;J. Neural Eng.,2018

Cited by 5 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. PSSS-EEG: A Probabilistic-masking Self-Supervised Swin-transformer model for EEG-based drowsiness recognition;Pattern Recognition;2024-09

2. MST-DGCN: A Multi-Scale Spatio-Temporal and Dynamic Graph Convolution Fusion Network for Electroencephalogram Recognition of Motor Imagery;Electronics;2024-06-03

3. EEG-CDILNet: a lightweight and accurate CNN network using circular dilated convolution for motor imagery classification;Journal of Neural Engineering;2023-08-01

4. Application of CEEMD and permutation entropy in noise elimination of hydropower unit swing signal;Journal of Physics: Conference Series;2022-11-01

5. Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics;IEEE Journal of Biomedical and Health Informatics;2022-10