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- Publisher Website: 10.1109/EMBC.2013.6610142
- Scopus: eid_2-s2.0-84886464895
- PMID: 24110329
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Conference Paper: Single-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interface
Title | Single-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interface |
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Authors | |
Keywords | Medical sciences Computer applications |
Issue Date | 2013 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269 |
Citation | The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, 3-7 July 2013. In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2013, p. 2882-2885 How to Cite? |
Abstract | Event-related potentials (ERPs) are widely used in brain-computer interface (BCI) systems as input signals conveying a subject's intention. A fast and reliable single-trial ERP detection method can be used to develop a BCI system with both high speed and high accuracy. However, most of single-trial ERP detection methods are developed for offline EEG analysis and thus have a high computational complexity and need manual operations. Therefore, they are not applicable to practical BCI systems, which require a low-complexity and automatic ERP detection method. This work presents a joint spatial-time-frequency filter that combines common spatial patterns (CSP) and wavelet filtering (WF) for improving the signal-to-noise (SNR) of visual evoked potentials (VEP), which can lead to a single-trial ERP-based BCI. |
Persistent Identifier | http://hdl.handle.net/10722/189879 |
ISBN | |
ISSN | 2020 SCImago Journal Rankings: 0.282 |
DC Field | Value | Language |
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dc.contributor.author | Tu, Y | en_US |
dc.contributor.author | Huang, G | en_US |
dc.contributor.author | Hung, YS | en_US |
dc.contributor.author | Hu, L | en_US |
dc.contributor.author | Hu, Y | en_US |
dc.contributor.author | Zhang, Z | en_US |
dc.date.accessioned | 2013-09-17T15:01:04Z | - |
dc.date.available | 2013-09-17T15:01:04Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, 3-7 July 2013. In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 2013, p. 2882-2885 | en_US |
dc.identifier.isbn | 978-1-4577-0216-7 | - |
dc.identifier.issn | 1557-170X | - |
dc.identifier.uri | http://hdl.handle.net/10722/189879 | - |
dc.description.abstract | Event-related potentials (ERPs) are widely used in brain-computer interface (BCI) systems as input signals conveying a subject's intention. A fast and reliable single-trial ERP detection method can be used to develop a BCI system with both high speed and high accuracy. However, most of single-trial ERP detection methods are developed for offline EEG analysis and thus have a high computational complexity and need manual operations. Therefore, they are not applicable to practical BCI systems, which require a low-complexity and automatic ERP detection method. This work presents a joint spatial-time-frequency filter that combines common spatial patterns (CSP) and wavelet filtering (WF) for improving the signal-to-noise (SNR) of visual evoked potentials (VEP), which can lead to a single-trial ERP-based BCI. | - |
dc.language | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269 | - |
dc.relation.ispartof | IEEE Engineering in Medicine & Biology Society Conference Proceedings | en_US |
dc.subject | Medical sciences | - |
dc.subject | Computer applications | - |
dc.title | Single-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interface | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Huang, G: huanggan@hku.hk | en_US |
dc.identifier.email | Hung, YS: yshung@eee.hku.hk | en_US |
dc.identifier.email | Hu, Y: yhud@hku.hk | en_US |
dc.identifier.email | Zhang, Z: zgzhang@eee.hku.hk | en_US |
dc.identifier.authority | Hung, YS=rp00220 | en_US |
dc.identifier.authority | Hu, Y=rp00432 | en_US |
dc.identifier.authority | Zhang, Z=rp01565 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/EMBC.2013.6610142 | - |
dc.identifier.pmid | 24110329 | - |
dc.identifier.scopus | eid_2-s2.0-84886464895 | - |
dc.identifier.hkuros | 223283 | en_US |
dc.identifier.spage | 2882 | - |
dc.identifier.epage | 2885 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 131024 | - |
dc.identifier.issnl | 1557-170X | - |