Wavelet Design by Means of Multi-Objective GAs for Motor Imagery EEG Analysis
نویسندگان
چکیده
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).
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