Improving Seizure Detection by Integrating Feature Selection and Classification Techniques
Author:
Affiliation:
1. National Institute of Technology Warangal,Dept of ECE,Warangal,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10455095/10455100/10455593.pdf?arnumber=10455593
Reference15 articles.
1. A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy
2. Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction
3. Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning
4. Significant Low-Dimensional Spectral-Temporal Features for Seizure Detection
5. Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection
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