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

open access: yesDevelopmental Cognitive Neuroscience, 2019
Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific technology – to study real-time brain activity – that is relatively inexpensive, non-invasive and portable.
Alex Lau-Zhu   +2 more
doaj   +7 more sources

Tracking of Mental Workload with a Mobile EEG Sensor [PDF]

open access: yesSensors, 2021
The aim of the present investigation was to assess if a mobile electroencephalography (EEG) setup can be used to track mental workload, which is an important aspect of learning performance and motivation and may thus represent a valuable source of ...
Ekaterina Kutafina   +7 more
doaj   +6 more sources

The smartphone brain scanner: a portable real-time neuroimaging system. [PDF]

open access: yesPLoS ONE, 2014
Combining low-cost wireless EEG sensors with smartphones offers novel opportunities for mobile brain imaging in an everyday context. Here we present the technical details and validation of a framework for building multi-platform, portable EEG ...
Arkadiusz Stopczynski   +4 more
doaj   +6 more sources

Mobile EEG for the study of cognitive-motor interference during swimming? [PDF]

open access: yesFrontiers in Human Neuroscience
Research on brain function in natural environments has become a new interest in cognitive science. In this study, we aim to advance mobile electroencephalography (EEG) participant and device mobility.
Melanie Klapprott   +3 more
doaj   +2 more sources

Categorisation of Mobile EEG: A Researcher's Perspective. [PDF]

open access: yesBiomed Res Int, 2017
Researchers are increasingly attempting to undertake electroencephalography (EEG) recordings in novel environments and contexts outside of the traditional static laboratory setting. The term “mobile EEG,” although commonly used to describe many of these undertakings, is ambiguous, since it attempts to encompass a wide range of EEG device mobility ...
Bateson AD   +4 more
europepmc   +8 more sources

Low-cost, mobile EEG hardware for SSVEP applications. [PDF]

open access: yesHardwareX
The global shortage of integrated circuits due to the COVID-19 pandemic has made it challenging to build biopotential acquisition devices like electroencephalography (EEG) hardware. To address this issue, a new hardware system using common ICs has been designed, which is cost-effective, precise, and easily accessible from global distributors.
Kancaoğlu M, Kuntalp M.
europepmc   +4 more sources

Implementation of mobile EEG for resting-state and visual evoked potentials in young children in rural Ethiopia [PDF]

open access: yesFrontiers in Human Neuroscience
Children living in low- and middle-income countries (LMIC) are at disproportionately higher risk of neurodevelopmental delays due to exposure to adverse biological and environmental hazards.
Theresa I. Chin   +21 more
doaj   +2 more sources

Mind the road: attention related neuromarkers during automated and manual simulated driving captured with a new mobile EEG sensor system [PDF]

open access: yesFrontiers in Neuroergonomics
BackgroundDecline in vigilance due to fatigue is a common concern in traffic safety. Partially automated driving (PAD) systems can aid driving but decrease the driver's vigilance over time, due to reduced task engagement.
Joanna Elizabeth Mary Scanlon   +4 more
doaj   +2 more sources

Deployment of Mobile EEG Technology in an Art Museum Setting: Evaluation of Signal Quality and Usability [PDF]

open access: yesFrontiers in Human Neuroscience, 2017
Electroencephalography (EEG) has emerged as a powerful tool for quantitatively studying the brain that enables natural and mobile experiments. Recent advances in EEG have allowed for the use of dry electrodes that do not require a conductive medium ...
Jesus G. Cruz-Garza   +6 more
doaj   +2 more sources

Investigating cognitive-motor effects during slacklining using mobile EEG. [PDF]

open access: yesFront Hum Neurosci
Balancing is a very important skill, supporting many daily life activities. Cognitive-motor interference (CMI) dual-tasking paradigms have been established to identify the cognitive load of complex natural motor tasks, such as running and cycling.
Papin LJ   +4 more
europepmc   +4 more sources

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