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Decoding a Cognitive Performance State from Behavioral Data in the Presence of Auditory Stimuli

Decoding a Cognitive Performance State from Behavioral Data in the Presence of Auditory Stimuli 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Objective: Cognitive performance state is an unobserved state that refers to the overall performance of cognitive functions. Deriving an informative observation vector as well as the adaptive model and decoder… read more

Cascaded Thinning in Upscale and Downscale Representation for EEG Signal Processing

Cascaded Thinning in Upscale and Downscale Representation for EEG Signal Processing 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Smoothing filters are widely used in EEG signal processing for noise removal while preserving signals’ features. Inspired by our recent work on Upscale and Downscale Representation (UDR), this paper proposes… 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