A novel temporal-frequency combination pattern optimization approach based on information fusion for motor imagery BCIs-Reference-Cited by-同舟云学术

A novel temporal-frequency combination pattern optimization approach based on information fusion for motor imagery BCIs

Published:2024-06-30 Issue: Volume: Page:1-13
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Lü Chenyang¹²,Wang Ting¹²,Xi Xugang¹²^ORCID,Wang Maofeng³,Wang Jian¹²,Zhilenko Anton⁴,Li Lihua¹²

Affiliation:

1. School of Automation, Hangzhou Dianzi University, Hangzhou, China

2. Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China

3. Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China

4. Department of Cyber-Physical Systems, St. Petersburg State Marine Technical University, Saint-Petersburg, Russia

Funder

National Natural Science Foundation of China

Zhejiang Provincial Key Research and Development Program of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2024.2371036

Reference43 articles.

1. Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b

2. Ang KK, Chin ZY, Zhang H, Guan C. 2008. Filter bank common spatial pattern (FBCSP) in brain-computer interface. 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Hong Kong, China, 2008. p. 2390–2397.

3. Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers

4. Canonical Correlation Analysis for Data Fusion and Group Inferences

5. Dual attentive fusion for EEG-based brain-computer interfaces