Significant Low-Dimensional Spectral-Temporal Features for Seizure Detection
Absence seizure as a generalized onset seizure, simultaneously spreading seizure to both sides of the brain, involves around ten-second sudden lapses of consciousness. It common occurs in children than adults, which affects living quality even threats lives. Absence seizure can be confused with inat...
Main Authors: | Xucun Yan, Dongping Yang, Zihuai Lin, Branka Vucetic |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9729235/ |
Similar Items
-
Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection
by: Tengzi Liu, et al.
Published: (2023-01-01) -
Channel Increment Strategy-Based 1D Convolutional Neural Networks for Seizure Prediction Using Intracranial EEG
by: Xiaoshuang Wang, et al.
Published: (2023-01-01) -
Automated diagnosis of epileptic seizures using EEG image representations and deep learning
by: Taranjit Kaur, et al.
Published: (2023-09-01) -
DWT-EMD Feature Level Fusion Based Approach over Multi and Single Channel EEG Signals for Seizure Detection
by: Gopal Chandra Jana, et al.
Published: (2022-01-01) -
An Intelligent Epileptic Prediction System Based on Synchrosqueezed Wavelet Transform and Multi-Level Feature CNN for Smart Healthcare IoT
by: Kunpeng Song, et al.
Published: (2022-08-01)