Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation

This paper proposes a novel feature selection method utilizing Rényi min-entropy-based algorithm for achieving a highly efficient brain–computer interface (BCI). Usually, wavelet packet transformation (WPT) is extensively used for feature extraction from electro-encephalogram (EEG) signals. For the...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Brain Inform
Egile Nagusiak: Rahman, Md. Asadur, Khanam, Farzana, Ahmad, Mohiuddin, Uddin, Mohammad Shorif
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Springer Berlin Heidelberg 2020
Gaiak:
Research
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7297893/
https://ncbi.nlm.nih.gov/pubmed/32548772
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40708-020-00108-y
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