Review on psychological stress detection using biosignals

G Giannakakis, D Grigoriadis… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This review investigates the effects of psychological stress on the human body measured
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …

The neuroanatomical, neurophysiological and psychological basis of memory: Current models and their origins

E Camina, F Güell - Frontiers in pharmacology, 2017 - frontiersin.org
This review aims to classify and clarify, from a neuroanatomical, neurophysiological, and
psychological perspective, different memory models that are currently widespread in the …

Stress and anxiety detection using facial cues from videos

G Giannakakis, M Pediaditis, D Manousos… - … Signal Processing and …, 2017 - Elsevier
This study develops a framework for the detection and analysis of stress/anxiety emotional
states through video-recorded facial cues. A thorough experimental protocol was …

Cognitive workload estimation using physiological measures: a review

D Das Chakladar, PP Roy - Cognitive Neurodynamics, 2024 - Springer
Estimating cognitive workload levels is an emerging research topic in the cognitive
neuroscience domain, as participants' performance is highly influenced by cognitive …

A critical review on the impact of built environment on users' measured brain activity

S Azzazy, A Ghaffarianhoseini… - Architectural Science …, 2021 - Taylor & Francis
Due to the ever-increasing demand for urbanized life and fast-constructed built
environments, the urban quality of life and the psychological wellbeing of the inhabitants are …

Detection of stress/anxiety state from EEG features during video watching

G Giannakakis, D Grigoriadis… - 2015 37th Annual …, 2015 - ieeexplore.ieee.org
This paper studies the effect of stress/anxiety states on EEG signals during video sessions.
The levels of arousal and valence that are induced to each subject while watching each …

Exploring convolutional neural network architectures for EEG feature extraction

I Rakhmatulin, MS Dao, A Nassibi, D Mandic - Sensors, 2024 - mdpi.com
The main purpose of this paper is to provide information on how to create a convolutional
neural network (CNN) for extracting features from EEG signals. Our task was to understand …

[HTML][HTML] Impact of sport training on adaptations in neural functioning and behavioral performance: A scoping review with meta-analysis on EEG research

Q Fang, C Fang, L Li, Y Song - Journal of Exercise Science & Fitness, 2022 - Elsevier
Background/objective Investigating the neural mechanisms underlying sport performance
has been a research focus in the field of sport science. The current review aims to identify …

Analysis of decision-making process using methods of quantitative electroencephalography and machine learning tools

GM Wojcik, J Masiak, A Kawiak… - Frontiers in …, 2019 - frontiersin.org
The electroencephalographic activity of particular brain areas during the decision making
process is still little known. This paper presents results of experiments on the group of 30 …

New protocol for quantitative analysis of brain cortex electroencephalographic activity in patients with psychiatric disorders

GM Wojcik, J Masiak, A Kawiak, P Schneider… - Frontiers in …, 2018 - frontiersin.org
The interview is still the main and most important tool in psychiatrist's work. The
neuroimaging methods such as CT or MRI are widely used in other fields of medicine, for …