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EEG Signals Feature Extraction Based on DWT and EMD Combined with Approximate Entropy
The classification recognition rate of motor imagery is a key factor to improve the performance of brain–computer interface (BCI). Thus, we propose a feature extraction method based on discrete wavelet transform (DWT), empirical mode decomposition (EMD), and approximate entropy. Firstly, the electro...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721346/ https://www.ncbi.nlm.nih.gov/pubmed/31416258 http://dx.doi.org/10.3390/brainsci9080201 |