Connectivity steered graph Fourier transform for motor imagery BCI decoding
Volume: 16, Issue: 5, Pages: 056021 - 056021
Published: Aug 21, 2019
Abstract
Graph signal processing (GSP) concepts are exploited for brain activity decoding and particularly the detection and recognition of a motor imagery (MI) movement. A novel signal analytic technique that combines graph Fourier transform (GFT) with estimates of cross-frequency coupling (CFC) and discriminative learning is introduced as a means to recover the subject's intention from the multichannel signal.Adopting a multi-view perspective, based on...
Paper Details
Title
Connectivity steered graph Fourier transform for motor imagery BCI decoding
Published Date
Aug 21, 2019
Volume
16
Issue
5
Pages
056021 - 056021
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