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- W2783261680 abstract "Introduction: The electroencephalogram (EEG) is a tool for diagnosing seizures and assessing brain electrical activity in physiological and pathological states. It forms the basis for brain-computer interfaces and studies of the basic science of brain function. Clinically, the current gold standard for analyzing EEG is visual inspection. Unfortunately, trained EEG readers are a limited resource and the process of reading EEGs is labor-intensive. This limits access to proper seizure monitoring and prevents advances in treatment." @default.
- W2783261680 created "2018-01-26" @default.
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- W2783261680 date "2017-12-01" @default.
- W2783261680 modified "2023-09-24" @default.
- W2783261680 title "The stanford EEG corpus: A large open dataset of electroencephalograms from children and adults to support machine learning technology" @default.
- W2783261680 doi "https://doi.org/10.1109/spmb.2017.8257034" @default.
- W2783261680 hasPublicationYear "2017" @default.
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