Automatic Seizure Detection Based on Stockwell Transform and Transformer
Epilepsy is a chronic neurological disease associated with abnormal neuronal activity in the brain. Seizure detection algorithms are essential in reducing the workload of medical staff reviewing electroencephalogram (EEG) records. In this work, we propose a novel automatic epileptic EEG detection me...
Main Authors: | Xiangwen Zhong, Guoyang Liu, Xingchen Dong, Chuanyu Li, Haotian Li, Haozhou Cui, Weidong Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/24/1/77 |
Similar Items
-
A New Discretization Scheme for the Non-Isotropic Stockwell Transform
by: Hari M. Srivastava, et al.
Published: (2023-04-01) -
Seizure detection in EEG signal using Gaussian-stockwell transform and Hermite polynomial features
by: G. Jaffino, et al.
Published: (2024-09-01) -
Offset Linear Canonical Stockwell Transform for Boehmians
by: Navneet Kaur, et al.
Published: (2024-07-01) -
A novel hybrid CNN-transformer model for arrhythmia detection without R-peak identification using stockwell transform
by: Donghyeon Kim, et al.
Published: (2025-03-01) -
Voltage-Based Hybrid Algorithm Using Parameter Variations and Stockwell Transform for Islanding Detection in Utility Grids
by: Om Prakash Mahela, et al.
Published: (2021-03-01)