Stress assessment by means of heart rate derived from functional near-infrared spectroscopy

N Hakimi, SK Setarehdan - Journal of Biomedical Optics, 2018 - spiedigitallibrary.org
Many studies have been carried out in order to detect and quantify the level of mental stress
by means of different physiological signals. From the physiological point of view, stress …

Classifying multi-level stress responses from brain cortical EEG in nurses and non-health professionals using machine learning auto encoder

A Akella, AK Singh, D Leong, S Lal… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Objective: Mental stress is a major problem in our society and has become an area of
interest for many psychiatric researchers. One primary research focus area is the …

[HTML][HTML] Learning Multiple Movements in Parallel—Accurately and in Random Order, or Each with Added Noise?

JB Apidogo, J Burdack, WI Schöllhorn - International journal of …, 2022 - mdpi.com
Traditionally, studies on learning have mainly focused on the acquisition and stabilization of
only single movement tasks. In everyday life and in sports, however, several new skills often …

[HTML][HTML] EEG-based multi-level stress classification with and without smoothing filter

E Perez-Valero, MA Lopez-Gordo… - … Signal Processing and …, 2021 - Elsevier
Recently, multi-level stress assessment has become an active research subject. In this
context, researchers typically develop models based on machine learning classifiers and …

Proposing a convolutional neural network for stress assessment by means of derived heart rate from functional near infrared spectroscopy

N Hakimi, A Jodeiri, M Mirbagheri… - Computers in biology and …, 2020 - Elsevier
Background Stress is known as one of the major factors threatening human health. A large
number of studies have been performed in order to either assess or relieve stress by …

Quantification of human stress using commercially available single channel EEG Headset

SMU Saeed, SM Anwar, M Majid - IEICE Transactions on …, 2017 - search.ieice.org
A study on quantification of human stress using low beta waves of electroencephalography
(EEG) is presented. For the very first time the importance of low beta waves as a feature for …

Pánik próbája a mérés: Avagy önvezető technológiák elfogadásának valós idejű vizsgálata neurotudományi mérésekkel

S Prónay, M Lukovics, P Kovács… - Vezetéstudomány …, 2022 - unipub.lib.uni-corvinus.hu
Széles nemzetközi kutatói érdeklődés övezi az önvezető technológia fogyasztói
elfogadásának vizsgálatát, melyet a kutatók jelentős része a közismert TAM és UTAUT …

[HTML][HTML] Exploration of basil (Ocimum basilicum) essential oil profiles using E-nose and GC–MS combined with GC-O and inhalation effects on the human EEG …

SJ Hong, DS Kim, SM Jo, S Yoon, H Jeong… - Journal of Functional …, 2024 - Elsevier
This study aimed to investigate the changes in human EEG activity, Brodmann area, and
blood pressure during basil essential oil inhalation. Seven odor-active compounds were …

[HTML][HTML] On the hierarchical Organization of Oscillatory Assemblies: layered superimposition and a global bioelectric framework

R Jerath, C Beveridge, M Jensen - Frontiers in human neuroscience, 2019 - frontiersin.org
Bioelectric oscillations occur throughout the nervous system of nearly all animals, revealed
to play an important role in various aspects of cognitive activity such as information …

Effective human-robot collaboration through wearable sensors

A Al-Yacoub, A Buerkle, M Flanagan… - 2020 25th IEEE …, 2020 - ieeexplore.ieee.org
With the developments of collaborative robots in manufacturing, physical interactions
between humans and robots represent a vital role in performing tasks collaboratively. Most …