Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis.
In epilepsy diagnosis or epileptic seizure detection, much effort has been focused on finding effective combination of feature extraction and classification methods. In this paper, we develop a wavelet-based sparse functional linear model for representation of EEG signals. The aim of this modeling a...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 51; no. 1/2; pp. 49 - 61 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Feb2013
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| Acceso en línea: | Ver este registro en EBSCOhost |