[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 …
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
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 …
marginalized, or overlooked, by traditional cognitive science. In particular, the use of …
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 …
Lab and/or field? Measuring personality processes and their social consequences
How can researchers study personality processes and their social consequences? In our
methodology overview, we first introduce ambulatory assessment methods, which …
methodology overview, we first introduce ambulatory assessment methods, which …
Long short term memory hyperparameter optimization for a neural network based emotion recognition framework
Recently, emotion recognition using low-cost wearable sensors based on
electroencephalogram and blood volume pulse has received much attention. Long short …
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
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 …
popular approach for steering brain–computer interfaces (BCI). MI BCI has been considered …
Walking enhances peripheral visual processing in humans
Cognitive processes are almost exclusively investigated under highly controlled settings
during which voluntary body movements are suppressed. However, recent animal work …
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 …
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 …
(SampEn), were used to analyze the driving fatigue state at successive driving stages …
Proposing metrics for benchmarking novel EEG technologies towards real-world measurements
Recent advances in electroencephalographic (EEG) acquisition allow for recordings using
wet and dry sensors during whole-body motion. The large variety of commercially available …
wet and dry sensors during whole-body motion. The large variety of commercially available …