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...

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Detalles Bibliográficos
Autores principales: Ji, Na, Ma, Liang, Dong, Hui, Zhang, Xuejun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721346/
https://www.ncbi.nlm.nih.gov/pubmed/31416258
http://dx.doi.org/10.3390/brainsci9080201

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