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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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Principais autores: Suneet Gupta, Praveen Gupta, Bechoo Lal, Aniruddha Deka, Hirakjyoti Sarma, Sheifali Gupta
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2025-06-01
Series:Neuroscience Informatics
Assuntos:
Sleep staging
EEG
Non-invasive brain signal
Bi-LSTM
Discriminative features
Next-gen clinical applications
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S277252862500024X
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