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http://bura.brunel.ac.uk/handle/2438/22326Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, H | - |
| dc.contributor.author | Sun, Y | - |
| dc.contributor.author | Wang, F | - |
| dc.contributor.author | Cao, L | - |
| dc.contributor.author | Zhou, W | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Chen, S | - |
| dc.date.accessioned | 2021-02-27T17:31:42Z | - |
| dc.date.available | 2021-02-27T17:31:42Z | - |
| dc.date.issued | 2021-02-08 | - |
| dc.identifier.citation | Wang, H. et al. (2021) 'Cross-Subject Assistance: Inter-and Intra-Subject Maximal Correlation for Enhancing the Performance of SSVEP-Based BCIs', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp. 517 - 526. doi: 10.1109/tnsre.2021.3057938. | en_US |
| dc.identifier.issn | 1534-4320 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22326 | - |
| dc.description.sponsorship | National Natural Science Foundation of China | en_US |
| dc.description.sponsorship | 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 91748122) | - |
| dc.format.extent | 517 - 526 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.rights | Copyright © 2021 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.subject | brain computer interface (BCI) | en_US |
| dc.subject | electroencephalography (EEG) | en_US |
| dc.subject | Steady-state visual evoked potentials (SSVEP) | en_US |
| dc.subject | Inter- and intra-subject maximal correlation | en_US |
| dc.subject | Transfer learning | en_US |
| dc.title | Cross-Subject Assistance: Inter-and Intra-Subject Maximal Correlation for Enhancing the Performance of SSVEP-Based BCIs | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/tnsre.2021.3057938 | - |
| dc.relation.isPartOf | IEEE Transactions on Neural Systems and Rehabilitation Engineering | - |
| pubs.publication-status | Published | - |
| pubs.volume | 29 | - |
| dc.identifier.eissn | 1558-0210 | - |
| dc.rights.holder | The Authors | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2021 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | 1.54 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
