[HTML][HTML] Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges

A Lau-Zhu, MPH Lau, G McLoughlin - Developmental cognitive …, 2019 - Elsevier
Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …

Understanding minds in real-world environments: toward a mobile cognition approach

S Ladouce, DI Donaldson, PA Dudchenko… - Frontiers in human …, 2017 - frontiersin.org
There is a growing body of evidence that important aspects of human cognition have been
marginalized, or overlooked, by traditional cognitive science. In particular, the use of …

Moving magnetoencephalography towards real-world applications with a wearable system

E Boto, N Holmes, J Leggett, G Roberts, V Shah… - Nature, 2018 - nature.com
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 …

Lab and/or field? Measuring personality processes and their social consequences

C Wrzus, MR Mehl - European Journal of Personality, 2015 - journals.sagepub.com
How can researchers study personality processes and their social consequences? In our
methodology overview, we first introduce ambulatory assessment methods, which …

Long short term memory hyperparameter optimization for a neural network based emotion recognition framework

B Nakisa, MN Rastgoo, A Rakotonirainy, F Maire… - IEEE …, 2018 - ieeexplore.ieee.org
Recently, emotion recognition using low-cost wearable sensors based on
electroencephalogram and blood volume pulse has received much attention. Long short …

Real-time EEG feedback during simultaneous EEG–fMRI identifies the cortical signature of motor imagery

C Zich, S Debener, C Kranczioch, MG Bleichner… - Neuroimage, 2015 - Elsevier
Motor imagery (MI) combined with real-time electroencephalogram (EEG) feedback is a
popular approach for steering brain–computer interfaces (BCI). MI BCI has been considered …

Walking enhances peripheral visual processing in humans

L Cao, B Händel - PLoS biology, 2019 - journals.plos.org
Cognitive processes are almost exclusively investigated under highly controlled settings
during which voluntary body movements are suppressed. However, recent animal work …

Design and development of a portable exoskeleton for hand rehabilitation

D Wang, Q Meng, Q Meng, X Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Improvement in hand function to promote functional recovery is one of the major goals of
stroke rehabilitation. This paper introduces a newly developed exoskeleton for hand …

Real-time ECG-based detection of fatigue driving using sample entropy

F Wang, H Wang, R Fu - Entropy, 2018 - mdpi.com
In present work, the heart rate variability (HRV) characteristics, calculated by sample entropy
(SampEn), were used to analyze the driving fatigue state at successive driving stages …

Proposing metrics for benchmarking novel EEG technologies towards real-world measurements

AS Oliveira, BR Schlink, WD Hairston… - Frontiers in human …, 2016 - frontiersin.org
Recent advances in electroencephalographic (EEG) acquisition allow for recordings using
wet and dry sensors during whole-body motion. The large variety of commercially available …