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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...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
IEEE
2021
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| 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 |