A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network
Article
Article Title | A novel epileptic seizure prediction method based on synchroextracting transform and 1-dimensional convolutional neural network |
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ERA Journal ID | 5039 |
Article Category | Article |
Authors | Ra, Jee Sook, Li, Tianning and Li, Yan |
Journal Title | Computer Methods and Programs in Biomedicine |
Journal Citation | 240 |
Article Number | 107678 |
Number of Pages | 10 |
Year | 2023 |
Publisher | Elsevier |
Place of Publication | Ireland |
ISSN | 0169-2607 |
1872-7565 | |
Digital Object Identifier (DOI) | https://doi.org/https://doi.org/10.1016/j.cmpb.2023.107678 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0169260723003437 |
Abstract | Background and objective Methods Results Conclusions |
Keywords | EEG analysisSynchroextracting transform (SET)Singular value decomposition (SVD)1-dimensional convolutional neural network (1D-CNN)Epileptic seizure prediction |
ANZSRC Field of Research 2020 | 460207. Modelling and simulation |
400399. Biomedical engineering not elsewhere classified | |
Byline Affiliations | School of Mathematics, Physics and Computing |
https://research.usq.edu.au/item/z0y63/a-novel-epileptic-seizure-prediction-method-based-on-synchroextracting-transform-and-1-dimensional-convolutional-neural-network
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