Signal to noise ratio

Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation

Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Objective: The supervised decoding algorithms of Steady-State Visual Evoked Potentials (SSVEP) have achieved remarkable performance with sufficient training data. However, these methods have typically failed to achieve acceptable performance in… read more

Deep Neural Network-based Empirical Mode Decomposition for Motor Imagery EEG Classification

Deep Neural Network-based Empirical Mode Decomposition for Motor Imagery EEG Classification 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery refers to the brain’s response during the mental simulation of physical activities, which can be detected through electroencephalogram (EEG) signals. However, EEG signals exhibit a low signal-to-noise ratio… read more