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Supplementary material: A multimodal AI system for out-of-distribution generalization of seizure identification

Citation Author(s):
Yikai Yang (School of Biomedical Engineering, and the Australian Research Council Training Centre for Innovative BioEngineering, Faculty of Engineering, The University of Sydney, NSW 2006)
Nhan Duy Truong (School of Biomedical Engineering, and the Australian Research Council Training Centre for Innovative BioEngineering, Faculty of Engineering, The University of Sydney, NSW 2006)
Jason K. Eshraghian ( Department of Electrical Engineering and Computer Science, University of Michigan)
Christina Maher (School of Biomedical Engineering, and the Australian Research Council Training Centre for Innovative BioEngineering, Faculty of Engineering, The University of Sydney, NSW 2006)
Armin Nikpour (Comprehensive Epilepsy Services, Department of Neurology, The Royal Prince Alfred Hospital, NSW 2050)
Omid Kavehei (School of Biomedical Engineering, and the Australian Research Council Training Centre for Innovative BioEngineering, Faculty of Engineering, The University of Sydney, NSW 2006)
Submitted by:
Yikai Yang
Last updated:
DOI:
10.21227/w85b-jr11
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Abstract

This is the supplementary material for the paper  "A multimodal AI system for out-of-distribution generalization of seizure identification" in IEEE Journal of Biomedical and Health Informatics. 

Instructions:

This is the supplementary material for the paper  "A multimodal AI system for out-of-distribution generalization of seizure identification" in IEEE Journal of Biomedical and Health Informatics.

Dear sir, Greetings of the day I am doing research in eeg seizures . i particularly concentrate different types of eeg seizure signal like tonic clonic, myoclonic, absence and atonic signal. In connection that,i tried online dataset for different seizure .i recently read your paper regarding TUH dataset.i also tried tuh eeg corpus seizure dataser.please help me.
kamini kp Fri, 09/23/2022 - 09:23 Permalink