Asensio-Cubero, J and Galvan, E and Panlaniappan, R and Gan, JQ (2011) Wavelet design by means of multi-objective GAs for motor imagery EEG analysis. In: UNSPECIFIED, ? - ?.
Asensio-Cubero, J and Galvan, E and Panlaniappan, R and Gan, JQ (2011) Wavelet design by means of multi-objective GAs for motor imagery EEG analysis. In: UNSPECIFIED, ? - ?.
Asensio-Cubero, J and Galvan, E and Panlaniappan, R and Gan, JQ (2011) Wavelet design by means of multi-objective GAs for motor imagery EEG analysis. In: UNSPECIFIED, ? - ?.
Abstract
Wavelet-based analysis has been broadly used in the study of brain-computer interfaces (BCI), but in most cases these wavelet functions have not been designed taking into account the requirements of this field. In this study we propose a method to automatically generate wavelet-like functions by means of genetic algorithms. Results strongly indicate that it is possible to generate (evolve) wavelet functions that improve the classification accuracy compared to other well-known wavelets (e.g. Daubechies and Coiflets).
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | Published proceedings: _not provided_ - Notes: |
| Subjects: | P Language and Literature > P Philology. Linguistics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 29 Aug 2013 22:40 |
| Last Modified: | 23 Sep 2022 19:16 |
| URI: | http://repository.essex.ac.uk/id/eprint/4252 |
Available files
Filename: graz_bci_2011.pdf