Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images
Shafi Ullah Khan, Sana Ullah Jan, Insoo Koo, Yvonne Tran · 2023
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Description
Khan and co-authors build a deep learning system to spot epileptic seizures in brain wave recordings. Manual review of EEG traces is slow and error prone. Many automated models lean on one signal view, which weakens them in messy real settings. Their model joins time-frequency pictures of the signals with key statistics. A memory network then reads the merged features over time. The pictures are compressed to keep the system light.
Feature fusion is the core design move. It lets the model catch patterns that a single view misses. The team aimed for robust detection across varied recordings. Faster, surer alerts could cut the risk of injury from missed seizures.
Catalog record
| CREATOR | Shafi Ullah Khan, Sana Ullah Jan, Insoo Koo, Yvonne Tran |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |