Determining Diagnostic Utility of EEG for Assessing Stroke Severity using Deep Learning Models

Determining Diagnostic Utility of EEG for Assessing Stroke Severity using Deep Learning Models

Stroke has become a leading cause of disability worldwide. Early medication and rehabilitation is the key to help post-stroke survivors recover faster. Presently, doctors rely on imaging modalities like CT/MRI for diagnosing stroke patients. The diagnosis done using these modalities can be highly su...

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Bibliographic Details
Main Authors: Shatakshi Singh, Dimple Dawar, Esha Mehmood, Jeyaraj Durai Pandian, Rajeshwar Sahonta, Subhash Singla, Amit Batra, Cheruvu Siva Kumar, Manjunatha Mahadevappa
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Biomedical Engineering Advances
Subjects:
EEG
MRI
Stroke
Deep Learning
QEEG
NIHSS
Online Access:http://www.sciencedirect.com/science/article/pii/S2667099224000100

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http://www.sciencedirect.com/science/article/pii/S2667099224000100

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