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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| 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 |