Results 21 to 30 of about 49,364 (181)
Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset. [PDF]
Recent advances in mobile electroencephalogram (EEG) systems, featuring non-prep dry electrodes and wireless telemetry, have enabled and promoted the applications of mobile brain-computer interfaces (BCIs) in our daily life.
Bin +45 more
core +2 more sources
Anomalous pattern based clustering of mental tasks with subject independent learning – some preliminary results [PDF]
In this paper we describe a new method for EEG signal classification in which the classification of one subject’s EEG signals is based on features learnt from another subject.
Amorim, Renato +2 more
core +1 more source
Recent neurophysiological studies indicate that exposure to electromagnetic fields (EMFs) generated by mobile phone radiation can exert effects on brain activity.
Diana Henz +2 more
doaj +1 more source
Electroencephalography (EEG) is a crucial tool in cognitive neuroscience, enabling the study of neurophysiological function by measuring the brain’s electrical activity. Its applications include perception, learning, memory, language, decision making and
Paria Samimisabet +3 more
doaj +1 more source
Access to affordable, objective and scalable biomarkers of brain function is needed to transform the healthcare burden of neuropsychiatric and neurodegenerative disease.
Esther C. McWilliams +12 more
doaj +1 more source
Transparent authentication: Utilising heart rate for user authentication [PDF]
There has been exponential growth in the use of wearable technologies in the last decade with smart watches having a large share of the market. Smart watches were primarily used for health and fitness purposes but recent years have seen a rise in their ...
deutschmann +12 more
core +2 more sources
iCanClean Improves Independent Component Analysis of Mobile Brain Imaging with EEG
Motion artifacts hinder source-level analysis of mobile electroencephalography (EEG) data using independent component analysis (ICA). iCanClean is a novel cleaning algorithm that uses reference noise recordings to remove noisy EEG subspaces, but it has ...
Colton B. Gonsisko +2 more
doaj +1 more source
Evan D Chinoy,1,2 Joseph A Cuellar,1,2 Jason T Jameson,1,2 Rachel R Markwald1 1Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA; 2Leidos, Inc., San Diego, CA ...
Chinoy ED +3 more
doaj
Analyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems
Reaching and grasping is an essential part of everybody’s life, it allows meaningful interaction with the environment and is key to independent lifestyle.
Andreas Schwarz +5 more
doaj +1 more source
Signal Quality Evaluation of Emerging EEG Devices
Electroencephalogram (EEG) registration as a direct measure of brain activity has unique potentials. It is one of the most reliable and predicative indicators when studying human cognition, evaluating a subject's health condition, or monitoring their ...
Thea Radüntz
doaj +1 more source

