A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification-Reference-Cited by-同舟云学术

A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification

Published:2022-07 Issue:7 Volume:26 Page:3529-3538
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Yang Yikai¹^ORCID,Truong Nhan Duy¹^ORCID,Eshraghian Jason K.²^ORCID,Maher Christina¹,Nikpour Armin³,Kavehei Omid¹^ORCID

Affiliation:

1. School of Biomedical Engineering, and the Australian Research Council Training Centre for Innovative BioEngineering, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia

2. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA

3. Comprehensive Epilepsy Services, Department of Neurology, The Royal Prince Alfred Hospital, Camperdown, NSW, Australia

Funder

University of Sydney

SOAR Fellowship

Microsoft

Microsoft AI for Accessibility grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9813470/09732211.pdf?arnumber=9732211

Reference58 articles.

1. Automated epileptic seizure detection based on wearable ECG and PPG in a hospital environment;vandecasteele;SENSORS,2017

2. The EPILEPSIAE database: An extensive electroencephalography database of epilepsy patients;klatt;Epilepsia,2012

3. EmbraceNet: A robust deep learning architecture for multimodal classification

4. Continental generalization of an AI system for clinical seizure recognition;yang;arXiv 2103 10900,2021

5. Weak supervision as an efficient approach for automated seizure detection in electroencephalography

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