Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing

Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing

This work presents a new on-line adaptive filter, which is based on a similarity analysis between standard electrode locations, in order to reduce artifacts and common interferences throughout electroencephalography (EEG) signals, but preserving the useful information. Standard deviation and Concord...

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Bibliographic Details
Main Authors: Denis Delisle-Rodriguez, Ana Cecilia Villa-Parra, Teodiano Bastos-Filho, Alberto López-Delis, Anselmo Frizera-Neto, Sridhar Krishnan, Eduardo Rocon
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Sensors
Subjects:
artifact reduction
brain-computer interface
EEG
EOG
Laplacian
spatial filter
feature selection
gait planning
SSVEP
Online Access:https://www.mdpi.com/1424-8220/17/12/2725

Internet

https://www.mdpi.com/1424-8220/17/12/2725

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