Engineering nonlinear epileptic biomarkers using deep learning and Benford’s law
Abstract In this study, we designed two deep neural networks to encode 16 features for early seizure detection in intracranial EEG and compared them and their frequency responses to 16 widely used engineered metrics to interpret their properties: epileptogenicity index (EI), phase locked high gamma...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-03-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-09429-w |