Investigating Data Cleaning Methods to Improve Performance of Brain–Computer Interfaces Based on Stereo-Electroencephalography

Investigating Data Cleaning Methods to Improve Performance of Brain–Computer Interfaces Based on Stereo-Electroencephalography

Stereo-electroencephalography (SEEG) utilizes localized and penetrating depth electrodes to directly measure electrophysiological brain activity. The implanted electrodes generally provide a sparse sampling of multiple brain regions, including both cortical and subcortical structures, making the SEE...

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Bibliographic Details
Main Authors: Shengjie Liu, Guangye Li, Shize Jiang, Xiaolong Wu, Jie Hu, Dingguo Zhang, Liang Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Neuroscience
Subjects:
brain–computer interface
stereo-electroencephalography
data cleaning
re-referencing method
gesture decoding
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.725384/full

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