Automatic Localization of Seizure Onset Zone From High-Frequency SEEG Signals: A Preliminary Study

Automatic Localization of Seizure Onset Zone From High-Frequency SEEG Signals: A Preliminary Study

Objective: Stereoelectroencephalogram (SEEG) has been widely adapted to detect the electrical activity of patients with epilepsy. Due to the low-quality, large-amount, high-dimensionality characteristics of SEEG data, it is still challenging to comprehensively employ the SEEG signals to automaticall...

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Bibliographic Details
Main Authors: Linxia Xiao, Caizi Li, Yanjiang Wang, Junxi Chen, Weixin Si, Chen Yao, Xifeng Li, Chuanzhi Duan, Pheng-Ann Heng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
SEEG
preoperative planning
seizure onset zone
convolutional neural network
AHFEI
Online Access:https://ieeexplore.ieee.org/document/9458292/

Internet

https://ieeexplore.ieee.org/document/9458292/

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