[HTML][HTML] A review on mental stress assessment methods using EEG signals

R Katmah, F Al-Shargie, U Tariq, F Babiloni… - Sensors, 2021 - mdpi.com
Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …

A physiological signal-based method for early mental-stress detection

L **a, AS Malik, AR Subhani - Cyber-enabled intelligence, 2019 - taylorfrancis.com
The early detection of mental stress is critical for efficient clinical treatment. Compared with
traditional approaches, the automatic methods presented in literature have shown …

Automatic EEG channel selection for multiclass brain-computer interface classification using multiobjective improved firefly algorithm

A Tiwari, A Chaturvedi - Multimedia Tools and Applications, 2023 - Springer
Abstract Multichannel Electroencephalography-based Brain-Computer Interface (BCI)
systems facilitate a communicating medium between the human brain and the outside world …

k-fold cross-validation can significantly over-estimate true classification accuracy in common EEG-based passive BCI experimental designs: an empirical investigation

J White, SD Power - Sensors, 2023 - mdpi.com
In passive BCI studies, a common approach is to collect data from mental states of interest
during relatively long trials and divide these trials into shorter “epochs” to serve as individual …

Automated alcoholism detection using fourier-bessel series expansion based empirical wavelet transform

A Anuragi, DS Sisodia, RB Pachori - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In this paper, the Fourier-Bessel series expansion based empirical wavelet transform (FBSE-
EWT) is proposed for automated alcoholism detection using electroencephalogram (EEG) …

Support vector machine classification of brain states exposed to social stress test using EEG-based brain network measures

S Lotfan, S Shahyad, R Khosrowabadi… - Biocybernetics and …, 2019 - Elsevier
Stress is one of the most significant health problems in the 21st century, and should be dealt
with due to the costs of primary and secondary cares of stress-associated psychological and …

Deep neural network with harmony search based optimal feature selection of EEG signals for motor imagery classification

A Nakra, M Duhan - International Journal of Information Technology, 2023 - Springer
The brain computer interface (BCI) is a method of measuring brain activity via electrical
impulses. However, for measuring brain activity, electrodes are placed on human brain. The …

[HTML][HTML] Changes in the power and coupling of infra-slow oscillations in the signals of EEG leads during stress-inducing cognitive tasks

MD Prokhorov, EI Borovkova, AN Hramkov… - Applied Sciences, 2023 - mdpi.com
A change in the human psychophysiological state, caused by stress in particular, affects the
processes of autonomic control, the activity of which is reflected in infra-slow oscillations of …

Statistical wavelets with harmony search-based optimal feature selection of EEG signals for motor imagery classification

S Mohdiwale, M Sahu, GR Sinha… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Brain Computer Interface (BCI) does not only help people of physical disability but also
being used popularly in several other applications. Motor Imagery (MI) classification is one …

Human stress assessment: A comprehensive review of methods using wearable sensors and non-wearable techniques

A Arsalan, M Majid, IF Nizami, W Manzoor… - arxiv preprint arxiv …, 2022 - arxiv.org
This paper presents a comprehensive review of methods covering significant subjective and
objective human stress detection techniques available in the literature. The methods for …