Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns

Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns

We introduce Enhanced Kernel-based Relevance Analysis (EKRA) that aims to support the automatic identification of brain activity patterns using electroencephalographic recordings. EKRA is a data-driven strategy that incorporates two kernel functions to take advantage of the available joint informati...

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Bibliographic Details
Main Authors: Andres M. Alvarez-Meza, Alvaro Orozco-Gutierrez, German Castellanos-Dominguez
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Neuroscience
Subjects:
relevance analysis
kernel method
brain activity
motor imagery
epileptic seizure detection
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2017.00550/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2017.00550/full

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