Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks
The unpredictability of seizures is often considered by patients to be the most problematic aspect of epilepsy, so this work aims to develop an accurate epilepsy seizure predictor, making it possible to enable devices to warn patients of impeding seizures. To develop a model for seizure prediction,...
Saved in:
| Main Authors: | Chien-Liang Liu, Bin Xiao, Wen-Hoar Hsaio, Vincent S. Tseng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8910555/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MACNet: A Multidimensional Attention-Based Convolutional Neural Network for Lower-Limb Motor Imagery Classification
by: Ling-Long Li, et al.
Published: (2024-11-01) -
Multi-stream feature fusion of vision transformer and CNN for precise epileptic seizure detection from EEG signals
by: Qi Li, et al.
Published: (2025-08-01) -
EEG Depression Recognition Based on Multi-domain Features Combined with CBAM Model
by: CHEN Yu, et al.
Published: (2024-06-01) -
Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis
by: Md Nurul Ahad Tawhid, et al.
Published: (2025-06-01) -
Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks
by: Aaditya Joshi, et al.
Published: (2025-07-01)