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Deep Learning Model for Detection of Electrographic Seizures from Continuous EEG In ICU Settings

Publication Type : Conference Paper

Source : American Epilepsy Society Conference, 2021.

Url : https://www.researchgate.net/publication/357780474_Deep_Learning_Model_for_Detection_of_Electrographic_Seizures_from_continuous_EEG_in_ICU_patients

Campus : Amritapuri

School : School for Sustainable Futures

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Year : 2021

Abstract : Single EEG channel was found to be capable for detecting electrographic seizures from continuous EEG recordings in ICU patients using deep-learning model. The poster is accessible online https://cms.aesnet.org/abstractslisting/deep-learning-model-for-detection-of-electrographic-seizures-from-continuous-eeg-in-icu-patients.

Cite this Research Publication : Ahsan Habib, Xiuxian Pham, R. K. Udhayakumar, Emran Ali, Daniel Thom, Joshua Laing, Terence J. O’Brien, Patrick Kwan, Chandan Karmakar, Deep Learning Model for Detection of Electrographic Seizures from Continuous EEG In ICU Settings, American Epilepsy Society Conference, 2021.

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