Exploring the frontiers of neuroimaging: a review of recent advances in understanding brain functioning and disorders

C Yen, CL Lin, MC Chiang - Life, 2023 - mdpi.com
Neuroimaging has revolutionized our understanding of brain function and has become an
essential tool for researchers studying neurological disorders. Functional magnetic …

Recent trends in EEG based Motor Imagery Signal Analysis and Recognition: A comprehensive review.

N Sharma, M Sharma, A Singhal, R Vyas, H Malik… - IEEE …, 2023 - ieeexplore.ieee.org
The electroencephalogram (EEG) motor imagery (MI) signals are the widespread paradigms
in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and …

ECG-Based Driving Fatigue Detection Using Heart Rate Variability Analysis with Mutual Information

J Halomoan, K Ramli, D Sudiana, TS Gunawan… - Information, 2023 - mdpi.com
One of the WHO's strategies to reduce road traffic injuries and fatalities is to enhance vehicle
safety. Driving fatigue detection can be used to increase vehicle safety. Our previous study …

Effective network analysis in music listening based on electroencephalogram

Y Tan, Z Sun, X Teng, P Larrouy-Maestri, F Duan… - Computers and …, 2024 - Elsevier
Music is present in every culture and affects humans in numerous ways. Music-related
technologies, such as music generation, can extend the application scenarios of human …

Generalized Optimal EEG Channels Selection for Motor Imagery Brain-Computer Interface

HC Lee, CH Lee - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Brain–computer interfaces (BCI) enable people to communicate with external instruments
through brain activity recorded by electroencephalography (EEG). BCI based on motor …

Psychological stress detection with optimally selected EEG channel using Machine Learning techniques

AJ Marthinsen, I Galtung, A Cheema, C Sletten… - 2023 - ntnuopen.ntnu.no
Psychological stress buildup can lead to mental disorders, early mortality, stroke and
sudden cardiac arrest and therefore, timely stress detection is important for reducing human …

EEG source imaging of hand movement-related areas: an evaluation of the reconstruction and classification accuracy with optimized channels

A Soler, E Giraldo, M Molinas - Brain Informatics, 2024 - Springer
The hand motor activity can be identified and converted into commands for controlling
machines through a brain-computer interface (BCI) system. Electroencephalography (EEG) …

[HTML][HTML] Standardized hierarchical adaptive Lp regression for noise robust focal epilepsy source reconstructions

J Lahtinen, A Koulouri, S Rampp, J Wellmer… - Clinical …, 2024 - Elsevier
Objective To investigate the ability of standardization to reduce source localization errors
and measurement noise uncertainties for hierarchical Bayesian algorithms with L 1-and L 2 …

Automatic sleep stage classification with optimized selection of eeg channels

H Stenwig, A Soler, J Furuki, Y Suzuki… - 2022 21st IEEE …, 2022 - ieeexplore.ieee.org
Visual inspection of Polysomnography (PSG) recordings by sleep experts, based on
established guidelines, has been the gold standard in sleep stage classification. This …

[PDF][PDF] 脑磁源定位重建算法研究进展

羊艳玲, 姚旭峰, 罗世昌, 时承, 高秀敏… - 中国生物医学工程 …, 2024 - cjbme.csbme.org
脑磁图作为一种非侵入性大脑功能神经成像方法, 以其高时间分辨率和无创性等特点得到临床的
广泛关注. 脑磁源定位研究的核心问题是利用脑外磁场数据(脑磁图) 来推断脑内电流源的分布 …