Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective

Volume: 14
Published: Feb 18, 2020
Abstract
Within a decade, single trial analysis of functional Near Infrared Spectroscopy (fNIRS) signals has gained significant momentum, and fNIRS joined the set of modalities frequently used for active and passive Brain Computer Interfaces (BCI). A great variety of methods for feature extraction and classification have been explored using state-of-the-art Machine Learning methods. In contrast, signal preprocessing and cleaning pipelines for fNIRS often...
Paper Details
Title
Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective
Published Date
Feb 18, 2020
Volume
14
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