AHFE Open AccessA potential rapid detection of cognitive status in the brain: an fNIRS study
Abstract
In the realm of human factors, objective assessment of cognitive states is crucial for the safe completion of tasks. Functional near-infrared spectroscopy (fNIRS) can be employed to recognize the cognitive activities and evaluate the mental workload associated with cognitive-executive processes. This study proposes a method for facilitating the faster detection of changes in cognitive states based on the correlation coefficients of adjacent channels, which enables the extraction of local connectivity (LC) features from fNIRS data. The results indicate that the extracted new features can reflect changes in the activation patterns of specific brain regions during the early stages (0~2.5s) of the task. It is suggested that these features could be used to identify the brain's task states.
Keywords: Functional near-infrared spectroscopy (fNIRS), Brain network structure, Brain connectivity, Correlation coefficients
DOI: 10.54941/ahfe1004753
Cite this paper
More from this volume
- Using Cardiac and Electrodermal Activity as Cognitive Markers for Interruptions and Distraction in a Surveillance Simulation
- Real-Time Machine Learning for ICU Hypoxia Prediction: A Pilot Study
- NeuroTeaming: Using Power Spectral Density for Adjusting Teaming Dynamics in Pilot-AI Task Allocation
- Training stress models on open-access data for a continuous human state monitoring platform
- Validation of Vigilance Decline Capability in A Simulated Test Environment: A Preliminary Step Towards Neuroadaptive Control
- Decision-making augmentation system for solving the problem of risk reduction
- Wide scope of applications of the SSAT toward the optimization of user experience
- On the Theory of Regulating Educational and Professional Activity
- Workers’ Modes of Self-Expression and Behavioural Manifestations of Loyalty or Exit-Intentions When Engaged in Systemic Structural Activities
- An Introduction to Single-Case Experimental Designs for Applied Human Factors and Ergonomics
- Measuring Flow: Perceived Emotions & Arousal-Valence
- Evaluation of Voice vs. Text Communication Modes in Simulated UAM Operations.