EEG datasets for seizure detection and prediction— A review
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DOI: 10.1002/epi4.12704
Abstract: Electroencephalogram (EEG) datasets from epilepsy patients have been used to develop seizure detection and prediction algorithms using machine learning (ML) techniques with the aim of implementing the learned model in a device. However, the format… read more here.
Keywords: seizure detection; eeg datasets; publicly available; detection prediction ... See more keywords
A neural network predicting the amplitude of the N2pc in individual EEG datasets
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac2849
Abstract: Objective. The N2pc is a small amplitude transient interhemispheric voltage asymmetry used in cognitive neuroscience to investigate subject’s allocation of selective visuo-spatial attention. N2pc is typically estimated by averaging the sweeps of the electroencephalographic (EEG)… read more here.
Keywords: eeg datasets; neural network; n2pc amplitude; amplitude ... See more keywords