Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain–Computer Interface

Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain–Computer Interface

A passive brain–computer interface (BCI) based upon functional near-infrared spectroscopy (fNIRS) brain signals is used for earlier detection of human drowsiness during driving tasks. This BCI modality acquired hemodynamic signals of 13 healthy subjects from the right dorsolateral prefrontal cortex...

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Bibliographic Details
Main Authors: Saad Arif, Muhammad Jawad Khan, Noman Naseer, Keum-Shik Hong, Hasan Sajid, Yasar Ayaz
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Human Neuroscience
Subjects:
functional near-infrared spectroscopy
brain-computer interface
drowsiness detection
vector phase analysis
cerebral oxygen regulation
sleep stages
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.658444/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2021.658444/full

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