K-Means Clustering Machine Learning Approach Reveals Groups of Homogeneous Individuals With Unique Brain Activation, Task, and Performance Dynamics Using fNIRS

K-Means Clustering Machine Learning Approach Reveals Groups of Homogeneous Individuals With Unique Brain Activation, Task, and Performance Dynamics Using fNIRS

Wearable functional near-infrared spectroscopy (fNIRS) for measuring brain function, in terms of hemodynamic responses, is pervading our everyday life and holds the potential to reliably classify cognitive load in a naturalistic environment. However, human’s brain hemodynamic response, be...

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Bibliographic Details
Main Author: Manob Jyoti Saikia
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain imaging
clustering
cognitive load
fNIRS
k-means
machine learning
Online Access:https://ieeexplore.ieee.org/document/10130379/

Internet

https://ieeexplore.ieee.org/document/10130379/

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