Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes
Wrapper based wavelet feature optimization for EEG signals
โ Scribed by Girisha Garg; Vijander Singh; J. R. P. Gupta; A. P. Mittal
- Book ID
- 113111124
- Publisher
- Korean Society of Medical and Biological Engineering
- Year
- 2012
- Tongue
- English
- Weight
- 659 KB
- Volume
- 2
- Category
- Article
- ISSN
- 2093-9868
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