Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06352-5
Abstract: The brain–computer interface (BCI) is an emerging technology that has the potential to revolutionize the world, with numerous applications ranging from healthcare to human augmentation. Electroencephalogram (EEG) motor imagery (MI) is among the most common… read more here.
Keywords: motor imagery; electroencephalogram eeg; based techniques; deep learning ... See more keywords
Role of Electroencephalogram (EEG) and Magnetic Resonance Imaging (MRI) Findings in Early Recognition and Diagnosis of Neuronal Ceroid Lipofuscinosis Type 2 Disease
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Child Neurology"
DOI: 10.1177/08830738221128773
Abstract: Neuronal ceroid lipofuscinosis type 2 (CLN2) disease is a very rare neurodegenerative lysosomal storage disorder. Progression is rapid and irreversible, making early diagnosis crucial for timely treatment. A group of pediatric neurologists and neuroradiologists with… read more here.
Keywords: ceroid lipofuscinosis; lipofuscinosis type; diagnosis; eeg magnetic ... See more keywords