Revised Tunable Q-Factor Wavelet Transform for EEG-Based Epileptic Seizure Detection

Revised Tunable Q-Factor Wavelet Transform for EEG-Based Epileptic Seizure Detection

Electroencephalogram (EEG) signals are an essential tool for the detection of epilepsy. Because of the complex time series and frequency features of EEG signals, traditional feature extraction methods have difficulty meeting the requirements of recognition performance. The tunable Q-factor wavelet t...

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Bibliographic Details
Main Authors: Zhen Liu, Bingyu Zhu, Manfeng Hu, Zhaohong Deng, Jingxiang Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Electroencephalogram
epilepsy
Q-factor
wavelet transform
characteristic subspace
Online Access:https://ieeexplore.ieee.org/document/10070792/

Internet

https://ieeexplore.ieee.org/document/10070792/

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