Determining the Quantitative Threshold of High-Frequency Oscillation Distribution to Delineate the Epileptogenic Zone by Automated Detection

Determining the Quantitative Threshold of High-Frequency Oscillation Distribution to Delineate the Epileptogenic Zone by Automated Detection

Objective: We proposed an improved automated high frequency oscillations (HFOs) detector that could not only be applied to various intracranial electrodes, but also automatically remove false HFOs caused by high-pass filtering. We proposed a continuous resection ratio of high order HFO channels and...

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Bibliographic Details
Main Authors: Chenxi Jiang, Xiaonan Li, Jiaqing Yan, Tao Yu, Xueyuan Wang, Zhiwei Ren, Donghong Li, Chang Liu, Wei Du, Xiaoxia Zhou, Yue Xing, Guoping Ren, Guojun Zhang, Xiaofeng Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Neurology
Subjects:
HFO
automated detection
epilepsy
surgery
threshold
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2018.00889/full

Internet

https://www.frontiersin.org/article/10.3389/fneur.2018.00889/full

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