Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusion

The findings of the experimental investigation demonstrate that our model is capable of exploiting the temporal and frequency characteristics present within EEG signals.

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Publication Details

Journal
Journal of Translational Medicine
Published
2024-10-04
DOI
https://doi.org/10.1186/s12967-024-05678-7
Citations
52
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
17.82

Funders

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article

Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusion

Junliang Shang, Jin‐Xing Liu, Rong Zhu, Wen-Xin Pan
52 citations
Journal of Translational Medicine
EEG and Brain-Computer Interfaces
17.82
article

Epileptic seizure prediction via multidimensional transformer and recurrent neural network fusion

Junliang Shang, Jin‐Xing Liu, Rong Zhu, Wen-Xin Pan
article en
52 citations

Abstract

The findings of the experimental investigation demonstrate that our model is capable of exploiting the temporal and frequency characteristics present within EEG signals.

Journal of Translational MedicineVol. 22(1)
Qufu Normal University (CN)
National Natural Science Foundation of China, Social Science Planning Project of Shandong Province
Openalex Percentile: Top 0%
EEG and Brain-Computer Interfaces
17.82
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