Multi-dimensional hybrid bilinear CNN-LSTM models for epileptic seizure detection and prediction using EEG signals
This work paves the way for developing real-time, wearable epilepsy prediction devices to improve patient care.
Authors
- Lihui Cai (ORCID: https://orcid.org/0000-0002-3466-8573)
- Shanshan Li (ORCID: https://orcid.org/0000-0002-5991-1824)
- Jiang Wang (ORCID: https://orcid.org/0000-0002-2189-8003)
- Shan Liu (ORCID: https://orcid.org/0009-0003-1846-7653)
Institutions
- Tianjin University of Technology and Education (CN)
- Tianjin University of Technology (CN)
- Tianjin University (CN)
- Tiangong University (CN)
- Nankai University (CN)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1088/1741-2552/ada0e5
- Citations
- 14
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 4.80
Funders
- National Natural Science Foundation of China