Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS

Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS

Accurately identifying and discriminating between different brain states is a major emphasis of functional brain imaging research. Various machine learning techniques play an important role in this regard. However, when working with a small number of study participants, the lack of sufficient data a...

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Bibliographic Details
Main Author: Khan, Malik Nasir Afzal (author)
Other Authors: Zahour, Nada (author), Tariq, Usman (author), Masri, Ghinwa (author), Almadani, Ismat F. (author), Al-Nashah, Hasan (author)
Format: article
Published: 2025
Subjects:
Functional near-infrared spectroscopy (fNIRS)
Hemodynamic response
Deep convolutional generative adversarial network (DCGAN)
Feed-forward neural network
Linear support vector machines
Decision tree
Restricted Boltzmann machine
Convolutional neural networks
Classification
Binaural beats
Online Access:https://hdl.handle.net/11073/26085
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https://hdl.handle.net/11073/26085

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