Efficient and Accurate Epilepsy Seizure Prediction and Detection Based on Multi-Teacher Knowledge Distillation RGF-Model

The results indicate that the RGF-Model provides a highly efficient solution for real-time wearable epilepsy monitoring.

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Publication Details

Journal
Brain Sciences
Published
2026-01-09
DOI
https://doi.org/10.3390/brainsci16010083
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Efficient and Accurate Epilepsy Seizure Prediction and Detection Based on Multi-Teacher Knowledge Distillation RGF-Model

Anyuan Zhang, Tianze Wang, Cao Wei, Qi Li
Brain Sciences
EEG and Brain-Computer Interfaces
article

Efficient and Accurate Epilepsy Seizure Prediction and Detection Based on Multi-Teacher Knowledge Distillation RGF-Model

Anyuan Zhang, Tianze Wang, Cao Wei, Qi Li
article en

Abstract

The results indicate that the RGF-Model provides a highly efficient solution for real-time wearable epilepsy monitoring.

Brain SciencesVol. 16(1)
Changchun University of Science and Technology (CN)
Quality Education
Openalex Percentile: Top 94%
EEG and Brain-Computer Interfaces
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Efficient and Accurate Epilepsy Seizure Prediction and Detection Based on Multi-Teacher Knowledge Distillation RGF-Model — Anyuan Zhang, Tianze Wang, et al. · Brain Sciences (2026) | TGRS Research Map | TGRS