Adaptations of the balloon analog risk task for neuroimaging settings: a systematic review

C Compagne, JT Mayer, D Gabriel, A Comte… - Frontiers in …, 2023 - frontiersin.org
Introduction The Balloon Analog Risk Task (BART), a computerized behavioral paradigm, is
one of the most common tools used to assess the risk-taking propensity of an individual …

A Hybrid GCN and Filter‐Based Framework for Channel and Feature Selection: An fNIRS‐BCI Study

A Zafar, K Dad Kallu, M Atif Yaqub… - … Journal of Intelligent …, 2023 - Wiley Online Library
In this study, a channel and feature selection methodology is devised for brain‐computer
interface (BCI) applications using functional near‐infrared spectroscopy (fNIRS). A graph …

Metaheuristic optimization-based feature selection for imagery and arithmetic tasks: An fNIRS study

A Zafar, SJ Hussain, MU Ali, SW Lee - Sensors, 2023 - mdpi.com
In recent decades, the brain–computer interface (BCI) has emerged as a leading area of
research. The feature selection is vital to reduce the dataset's dimensionality, increase the …

Machine Learning Algorithms based Detection and Analysis of Stress-A Review

S Jyothirmy, G Geethika, SB Sai… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Now-a-days stress is one of the major issues in every individual's life. It may cause many
physiological and psychological problems. Many researchers have taken this into account …

Study the effect of acute stress on decision making using function near infrared spectroscopy (fNIRS)

A Abdalhadi, N Bencheva, NM Saad… - Asia Simulation …, 2023 - Springer
The prevalence of stress among individuals has become increasingly common, as
approximately 40% of the population experiences stress. Given that decision-making under …

Study of the Acute Stress Effects on Decision Making Using Electroencephalography and Functional Near-Infrared Spectroscopy: A Systematic Review

A Abdalhadi, N Koundal, MZ Yusoff… - IEEE …, 2024 - ieeexplore.ieee.org
This systematic review provides a comprehensive analysis of studies that use
electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to …

Stress Monitoring in Humans using Biomedical Signal Analysis

S Jyothirmy, SF Ahamed, G Geethika… - 2023 Second …, 2023 - ieeexplore.ieee.org
Nowadays, stress is one of the major issues in every individual's life and may cause both
physiological and psychological problems. Researchers have taken this into account and …

Academic Stress of Students in Higher Education using Machine Learning: A Systematic Literature Review

SM Geronimo, AA Hernandez… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Academic stress results from greater academic demands and non-academic factors,
resulting in students' performance decline and their ability to cope with academic activities …

Association between Prefrontal fNIRS signals during Cognitive tasks and College scholastic ability test (CSAT) scores: Analysis using a quantum annealing approach

Y Kim, J Choi, B Kim, Y Park, J Cha, J Choi… - arXiv preprint arXiv …, 2024 - arxiv.org
Academic achievement is a critical measure of intellectual ability, prompting extensive
research into cognitive tasks as potential predictors. Neuroimaging technologies, such as …

[PDF][PDF] CERTAIN INVESTIGATIONS ON FEATURE SELECTION TECHNIQUE USING ARTIFICIAL IMMUNE SYSTEMS FOR EEG COLOR VISUALIZATION …

K Saranya, PM Pandiyan, CR Hema - Neural Network World, 2024 - nnw.cz
This paper aims to extract and select the significant features of electroencephalogram (EEG)
signals and classify the visual stimulation of distinct colors. In this work, a novel method for …