Conditional VAE for personalized neurofeedback in cognitive training

Machine learning (ML) offers great potential in healthcare, especially in the analysis of complex physiological signals like electroencephalography (EEG). EEG recordings hold valuable insights into neurological function and can aid in diagnosing various conditions. In this work, we explore the use o...

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Bibliographic Details
Published in:	PloS one Vol. 20; no. 10; p. e0335364
Main Authors:	Tibermacine, Imad Eddine, Russo, Samuele, Scarano, Gianmarco, Tedesco, Giancarlo, Rabehi, Abdelaziz, Alhussan, Amel Ali, Khafaga, Doaa Sami, Eid, Marwa M., El-kenawy, El-Sayed M., Napoli, Christian
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 31.10.2025 Public Library of Science (PLoS)
Subjects:	Accuracy Adult Algorithms Analysis Biofeedback training Brain research Coders Cognition & reasoning Cognition - physiology Cognitive Training Datasets Deep learning EEG Electroencephalography Electroencephalography - methods Entropy Feature extraction Feedback Female Fourier transforms Fractals Health aspects Health care Humans Labels Liapunov exponents Machine Learning Male Methods Middle Aged Neural networks Neurofeedback - methods Neurological disorders Neurophysiology Orthopedics Permutations Physiology Precision Medicine Italy
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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