Multi-Class fNIRS Classification Using an Ensemble of GNN-Based Models

Multi-Class fNIRS Classification Using an Ensemble of GNN-Based Models

Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique used to estimate brain activity by measuring local hemodynamic changes. Due to its high spatial resolution, fNIRS is being actively researched as a control signal in the field of brain-computer interface (BCI). Extraction of e...

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Bibliographic Details
Main Authors: Minseok Seo, Eugene Jeong, Kyung-Soo Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Brain-computer interface
ensemble learning
functional connectivity
functional near-infrared spectroscopy
graph neural network
Online Access:https://ieeexplore.ieee.org/document/10343167/

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