Automated CCA-MWF algorithm for unsupervised identification and removal of EOG artifacts from EEG
M Miao, W Hu, B Xu, J Zhang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Affective brain computer interface (ABCI) enables machines to perceive, understand,
express and respond to people's emotions. Therefore, it is expected to play an important role …
express and respond to people's emotions. Therefore, it is expected to play an important role …
Cognitive load detection using Ci-SSA for EEG signal decomposition and nature-inspired feature selection
J Yedukondalu, LD Sharma - Turkish Journal of Electrical …, 2023 - journals.tubitak.gov.tr
Cognitive load detection is eminent during the mental assignment of neural activity because
it indicates how the brain reacts to stimuli. The level of cognitive load experienced during …
it indicates how the brain reacts to stimuli. The level of cognitive load experienced during …
FBLPF-ABOW: An Effective Method for Blink Artifact Removal in Single-Channel EEG Signal
W Gao, D Liu, Q Wang, Y Zhao… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Objective: The latest development in low-cost single-channel Electroencephalography
(EEG) devices is gaining widespread attention because it reduces hardware complexity …
(EEG) devices is gaining widespread attention because it reduces hardware complexity …