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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Vydáno v:	PloS one Ročník 20; číslo 10; s. e0335364
Hlavní autoři:	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
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 31.10.2025 Public Library of Science (PLoS)
Témata:	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
On-line přístup:	Získat plný text
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