An Improved P300 Extraction using ICA-R for P300-BCI Speller
In this study, a new P300 extraction method is investigated by using a form of constrained independent component analysis (cICA) algorithm called one-unit ICA-with-reference (ICA-R) which extracts the P300 signal based on its temporal information. The main advantage of this method compared to the ex...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Produced for IEEE EMBS by The Printing House, Inc.
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/35888 |
| _version_ | 1848754617663356928 |
|---|---|
| author | Lee, Wee Lih Tan, Tele Leung, Yee Hong |
| author2 | Not known |
| author_facet | Not known Lee, Wee Lih Tan, Tele Leung, Yee Hong |
| author_sort | Lee, Wee Lih |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this study, a new P300 extraction method is investigated by using a form of constrained independent component analysis (cICA) algorithm called one-unit ICA-with-reference (ICA-R) which extracts the P300 signal based on its temporal information. The main advantage of this method compared to the existing ICA-based method is that the desired P300 signal is extracted directly without requiring partial or full signal decomposition and any post-processing on the outcome of the ICA before the P300 signal can be obtained. Since only one IC is extracted, the method is computationally more efficient for real-time P300 BCI applications. In our study, when tested on the BCI competition 2003 dataset IIb, the current state-of-the-art performance is maintained by using the one-unit ICA-R. Besides that, the ability of the method to visualize P300 signals at the single-trial level also suggests it has potential applications in other types of ERP studies. |
| first_indexed | 2025-11-14T08:43:16Z |
| format | Conference Paper |
| id | curtin-20.500.11937-35888 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:43:16Z |
| publishDate | 2013 |
| publisher | Produced for IEEE EMBS by The Printing House, Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-358882017-09-13T15:21:51Z An Improved P300 Extraction using ICA-R for P300-BCI Speller Lee, Wee Lih Tan, Tele Leung, Yee Hong Not known In this study, a new P300 extraction method is investigated by using a form of constrained independent component analysis (cICA) algorithm called one-unit ICA-with-reference (ICA-R) which extracts the P300 signal based on its temporal information. The main advantage of this method compared to the existing ICA-based method is that the desired P300 signal is extracted directly without requiring partial or full signal decomposition and any post-processing on the outcome of the ICA before the P300 signal can be obtained. Since only one IC is extracted, the method is computationally more efficient for real-time P300 BCI applications. In our study, when tested on the BCI competition 2003 dataset IIb, the current state-of-the-art performance is maintained by using the one-unit ICA-R. Besides that, the ability of the method to visualize P300 signals at the single-trial level also suggests it has potential applications in other types of ERP studies. 2013 Conference Paper http://hdl.handle.net/20.500.11937/35888 10.1109/EMBC.2013.6611185 Produced for IEEE EMBS by The Printing House, Inc. restricted |
| spellingShingle | Lee, Wee Lih Tan, Tele Leung, Yee Hong An Improved P300 Extraction using ICA-R for P300-BCI Speller |
| title | An Improved P300 Extraction using ICA-R for P300-BCI Speller |
| title_full | An Improved P300 Extraction using ICA-R for P300-BCI Speller |
| title_fullStr | An Improved P300 Extraction using ICA-R for P300-BCI Speller |
| title_full_unstemmed | An Improved P300 Extraction using ICA-R for P300-BCI Speller |
| title_short | An Improved P300 Extraction using ICA-R for P300-BCI Speller |
| title_sort | improved p300 extraction using ica-r for p300-bci speller |
| url | http://hdl.handle.net/20.500.11937/35888 |