Issues and Challenges in Detecting Mental Stress from Multimodal Data Using Machine Intelligence

S Sadruddin, VD Khairnar, DR Vora - SN Computer Science, 2024 - Springer
The human body responds to challenging events or demanding conditions by entering an
escalated psycho-physiological state known as stress. Psychological stress can be captured …

Detection of Mental Stress using EEG signals-Alpha, Beta, Theta, and Gamma Bands

S Bakare, S Kuge, S Sugandhi… - 2024 5th …, 2024 - ieeexplore.ieee.org
Mental stress, or psychological stress, arises when individuals perceive emotional or
psychological strain beyond their coping abilities. Various factors such as personal …

[HTML][HTML] Newly identified Phonocardiography frequency bands for psychological stress detection with Deep Wavelet Scattering Network

Ø Sletta, A Cheema, AJ Marthinsen… - Computers in Biology …, 2024 - Elsevier
The timely psychological stress detection can improve the quality of human life by
preventing stress-induced behavioral and pathological consequences. This paper presents …

[HTML][HTML] MIMO Signal Detection Based on IM-LSTMNet Model

X Huang, Y Yuan, J Li - Electronics, 2024 - mdpi.com
Signal detection is crucial in multi-input multi-output orthogonal frequency division
multiplexing (MIMO-OFDM) systems, yet classical detection methods often struggle with …

A study of brain function characteristics of service members at high risk for accidents in the military

SO Choi, JG Choi, JY Yun - Brain sciences, 2023 - mdpi.com
Military accidents are often associated with stress and depressive psychological conditions
among soldiers, and they often fail to adapt to military life. Therefore, this study analyzes …

Stress detection based EEG under varying cognitive tasks using convolution neural network

HM Afify, KK Mohammed, AE Hassanien - Neural Computing and …, 2025 - Springer
One tool for promoting mental health is human stress detection through multitasks of
electroencephalography (EEG) recordings. This study proposed a short-term stress …

[HTML][HTML] EEG stress classification based on Doppler spectral features for ensemble 1D-CNN with LCL activation function

J Naren, AR Babu - Journal of King Saud University-Computer and …, 2024 - Elsevier
The paper proposes an induced stress classification algorithm that uses features from the
Doppler spectrum. In this approach, a reference signal source is used to obtain the …

Identifying neurophysiological correlates of stress

D Pei, S Tirumala, KT Tun, A Ajendla… - Frontiers in Medical …, 2024 - frontiersin.org
Stress has been recognized as a pivotal indicator which can lead to severe mental
disorders. Persistent exposure to stress will increase the risk for various physical and mental …

EEG Emotion Copilot: Pruning LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation

H Chen, W Zeng, C Chen, L Cai, F Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
In the fields of affective computing (AC) and brain-machine interface (BMI), the analysis of
physiological and behavioral signals to discern individual emotional states has emerged as …

Efficient classification model for anxiety detection in autism using intelligent search optimization based on Deep CNN

AT Umrani, P Harshavardhanan - Multimedia Tools and Applications, 2024 - Springer
Autism is a brain disease that harmfully impacts a person's capacity for interpersonal
interaction and communication. Autism is also known as autistic spectrum disorder (ASD) …