Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

[HTML][HTML] Does personality affect the cognitive decline in aging? A systematic review

G Troisi, A Marotta, J Lupiañez… - Ageing Research Reviews, 2024 - Elsevier
Cognitive decline is a natural consequence of aging, but several genetic, environmental,
and psychological factors can influence its trajectories. Among the most enduring factors, the …

Human personality reflects spatio-temporal and time-frequency EEG structure

VA Maksimenko, AE Runnova, MO Zhuravlev… - PloS one, 2018 - journals.plos.org
The reliable and objective assessment of intelligence and personality has been a topic of
increasing interest of contemporary neuroscience and psychology. It is known that …

[HTML][HTML] System for monitoring and adjusting the learning process of primary schoolchildren based on the eeg data analysis

SA Kurkin, VV Grubov, VA Maksimenko… - Информационно …, 2020 - cyberleninka.ru
Introduction: Monitoring the learning process usually involves an analysis of the higher
mental functions of the student: imagination, memory, thinking, attention, etc. Currently, there …

The influence of introversion–extroversion on Service Quality Dimensions: a trait activation theory study

S Hatipoglu, E Koc - Sustainability, 2023 - mdpi.com
Personality characteristics influence individuals' perceptions, evaluations, and behaviors
toward external stimuli. This study aims to investigate the influence of the extroversion …

An investigation of the multi-dimensional (1D vs. 2D vs. 3D) analyses of EEG signals using traditional methods and deep learning-based methods

D Shah, G Gopan K, N Sinha - Frontiers in Signal Processing, 2022 - frontiersin.org
Electroencephalographic (EEG) signals are electrical signals generated in the brain due to
cognitive activities. They are non-invasive and are widely used to assess neurodegenerative …

EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability

T Nishimoto, H Higashi, H Morioka… - Journal of Neural …, 2020 - iopscience.iop.org
Objective. Brain activity signals are possible biomarkers for personal authentication.
However, they are inherently variable due to measurement-environment factors and subject …

Impact of introversion-extraversion personality traits on knowledge-sharing intention in online health communities: A multi-group analysis

M Lv, Y Sun, B Shi - Sustainability, 2022 - mdpi.com
This paper investigates the influence of introversion-extraversion personality traits on the
knowledge-sharing intention of online health communities (OHCs) using personality trait …

Multimodal personality trait recognition using wearable sensors in response to public speaking

AR Butt, A Arsalan, M Majid - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Personality traits are fundamental parameters to characterize an individual's behavior.
Recently physiological signals are used to recognize personality traits in response to …

[HTML][HTML] Automation of investment and project management based on the introduction of an enterprise resource planning system in the power grid company

I Eremina, V Degtereva, K Kobulov… - Sustainable …, 2023 - cyberleninka.ru
Today, there is no universal software product that can fully cover the need for automation of
management in all areas of a large company. The purpose of this study is to consider the …