A General and Scalable Vision Framework for Functional Near-Infrared Spectroscopy Classification

A General and Scalable Vision Framework for Functional Near-Infrared Spectroscopy Classification

Functional near-infrared spectroscopy (fNIRS), a non-invasive optical technique, is widely used to monitor brain activities for disease diagnosis and brain-computer interfaces (BCIs). Deep learning-based fNIRS classification faces three major barriers: limited datasets, confusing evaluation criteria...

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Bibliographic Details
Main Authors: Zenghui Wang, Jun Zhang, Yi Xia, Peng Chen, Bing Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Functional near-infrared spectroscopy (fNIRS)
brain–computer interfaces (BCIs)
classification
deep learning
Gramian angular difference field
Online Access:https://ieeexplore.ieee.org/document/9828508/

Internet

https://ieeexplore.ieee.org/document/9828508/

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