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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Detalles Bibliográficos
Autores principales: Jiang, Chenxi, Li, Xiaonan, Yan, Jiaqing, Yu, Tao, Wang, Xueyuan, Ren, Zhiwei, Li, Donghong, Liu, Chang, Du, Wei, Zhou, Xiaoxia, Xing, Yue, Ren, Guoping, Zhang, Guojun, Yang, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243027/
https://www.ncbi.nlm.nih.gov/pubmed/30483204
http://dx.doi.org/10.3389/fneur.2018.00889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243027/
https://www.ncbi.nlm.nih.gov/pubmed/30483204
http://dx.doi.org/10.3389/fneur.2018.00889

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