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A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction

Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate synthetic EEG data. Another objective of our study is to use transfer-learning (T...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592500/
https://www.ncbi.nlm.nih.gov/pubmed/34727036
http://dx.doi.org/10.1109/TNSRE.2021.3125023