Unlocking transcranial FUS-EEG feature fusion for non-invasive sleep staging in next-gen clinical applications

Unlocking transcranial FUS-EEG feature fusion for non-invasive sleep staging in next-gen clinical applications

Accurate and non-invasive sleep staging is essential for evaluating sleep quality and diagnosing neurological and sleep disorders. Addressing the variations in electroencephalogram (EEG) and electrooculogram (EOG) signals across different sleep stages, this study introduces a transcranial focused ul...

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Bibliographic Details
Main Authors: Suneet Gupta, Praveen Gupta, Bechoo Lal, Aniruddha Deka, Hirakjyoti Sarma, Sheifali Gupta
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Neuroscience Informatics
Subjects:
Sleep staging
EEG
Non-invasive brain signal
Bi-LSTM
Discriminative features
Next-gen clinical applications
Online Access:http://www.sciencedirect.com/science/article/pii/S277252862500024X
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