Exercise under heat stress: thermoregulation, hydration, performance implications, and mitigation strategies
JD Périard, TMH Eijsvogels… - Physiological …, 2021 - journals.physiology.org
A rise in body core temperature and loss of body water via sweating are natural
consequences of prolonged exercise in the heat. This review provides a comprehensive and …
consequences of prolonged exercise in the heat. This review provides a comprehensive and …
A comprehensive review of EEG-based brain–computer interface paradigms
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
developments in brain–computer interface (BCI), thereby making BCI a top research area in …
Role of research and development in green economic growth through renewable energy development: empirical evidence from South Asia
W Fang, Z Liu, ARS Putra - Renewable Energy, 2022 - Elsevier
The study focuses on examining the impact of R&D and industrialization on green economic
growth. Financial assistance for environmentally friendly initiatives, the advancement of new …
growth. Financial assistance for environmentally friendly initiatives, the advancement of new …
Deep common spatial pattern based motor imagery classification with improved objective function
Common spatial pattern (CSP) technique has been very popular in terms of
electroencephalogram (EEG) features extraction in motor imagery (MI)-based brain …
electroencephalogram (EEG) features extraction in motor imagery (MI)-based brain …
Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion
Electroencephalography (EEG) motor imagery (MI) signals have recently gained a lot of
attention as these signals encode a person's intent of performing an action. Researchers …
attention as these signals encode a person's intent of performing an action. Researchers …
Moving magnetoencephalography towards real-world applications with a wearable system
Imaging human brain function with techniques such as magnetoencephalography typically
requires a subject to perform tasks while their head remains still within a restrictive scanner …
requires a subject to perform tasks while their head remains still within a restrictive scanner …
Methodological considerations for studying neural oscillations
T Donoghue, N Schaworonkow… - European journal of …, 2022 - Wiley Online Library
Neural oscillations are ubiquitous across recording methodologies and species, broadly
associated with cognitive tasks, and amenable to computational modelling that investigates …
associated with cognitive tasks, and amenable to computational modelling that investigates …
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
VJ Lawhern, AJ Solon, NR Waytowich… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Brain–computer interfaces (BCI) enable direct communication with a computer,
using neural activity as the control signal. This neural signal is generally chosen from a …
using neural activity as the control signal. This neural signal is generally chosen from a …
A novel deep learning approach for classification of EEG motor imagery signals
Objective. Signal classification is an important issue in brain computer interface (BCI)
systems. Deep learning approaches have been used successfully in many recent studies to …
systems. Deep learning approaches have been used successfully in many recent studies to …