Open AccessEmpirical Mode Decomposition and a Bidirectional LSTM Architecture Used to Decode Individual Finger MI-EEG Signals
Author(s) -
Tat’y Mwata-Velu,
José Ruiz-Pinales,
Juan Gabriel Aviña-Cervantes,
José-Joel González-Barbosa,
Jose Luis Contreras-Hernandez
Publication year - 2022
Publication title -
journal of advances in applied and computational mathematics
Language(s) - English
Resource type - Journals
ISSN - 2409-5761
DOI - 10.15377/2409-5761.2022.09.3
Subject(s) - brain–computer interface , electroencephalography , hilbert–huang transform , motor imagery , computer science , pattern recognition (psychology) , artificial intelligence , decoding methods , signal (programming language) , speech recognition , feature extraction , interface (matter) , feature (linguistics) , computer vision , psychology , neuroscience , algorithm , linguistics , philosophy , filter (signal processing) , bubble , maximum bubble pressure method , parallel computing , programming language