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| Title | Self-paced BCI using multiple SWT-based classifiers |
| Publication Type | Conference Paper |
| Year of Publication | 2008 |
| Authors | Faradji, F., R. K. Ward, and G. E. Birch |
| Conference Name | Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE |
| Pagination | 2095 -2098 |
| Date Published | aug. |
| Keywords | Algorithms, Computer-Assisted, electroencephalography, Evoked Potentials, Humans, Neural Networks (Computer), signal processing, User-Computer Interface, Visual |
| Abstract | The presence of false activations inhibits the use of existing self-paced BCIs in real life applications. We present a new design method for a self-paced BCI that yielded 0% false activations using the data of two subjects. This system obtains templates/shapes of the movement related finger flexion patterns. To obtain the templates, the intentional control data are decomposed into 5 levels using the stationary wavelet transform. Then, ensemble averaging is done. These templates are used to train 5 radial basis function neural networks. This is followed by a majority voting classifier. |
| URL | http://dx.doi.org/10.1109/IEMBS.2008.4649606 |
| DOI | 10.1109/IEMBS.2008.4649606 |