Litcius/Paper detail

A deep learning approach for decoding visually imagined digits and letters using time–frequency–spatial representation of EEG signals

Rami Alazrai, Motaz Abuhijleh, Mostafa Z. Ali, Mohammad I. Daoud

2022Expert Systems with Applications16 citationsDOI

Topics & Concepts

Computer scienceElectroencephalographyRepresentation (politics)Artificial intelligenceDecoding methodsPattern recognition (psychology)Energy (signal processing)Speech recognitionMathematicsAlgorithmStatisticsPsychologyPoliticsPolitical scienceLawPsychiatryEEG and Brain-Computer InterfacesNeural dynamics and brain functionBlind Source Separation Techniques
A deep learning approach for decoding visually imagined digits and letters using time–frequency–spatial representation of EEG signals | Litcius