Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals

In this work, we introduce a deep learning architecture for evaluation on multimodal electroencephalographic (EEG) and functional near-infrared spectroscopy (fNIRS) recordings from 40 epileptic patients. Long short-term memory units and convolutional neural networks are integrated within a multimoda...

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Detalles Bibliográficos
Autores principales: Sirpal, Parikshat, Damseh, Rafat, Peng, Ke, Nguyen, Dang Khoa, Lesage, Frédéric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547786/
https://www.ncbi.nlm.nih.gov/pubmed/34378155
http://dx.doi.org/10.1007/s12021-021-09538-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547786/
https://www.ncbi.nlm.nih.gov/pubmed/34378155
http://dx.doi.org/10.1007/s12021-021-09538-3

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