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The Smartphone Brain Scanner: A Portable Real-Time Neuroimaging System

Overview of attention for article published in PLOS ONE, February 2014
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Title
The Smartphone Brain Scanner: A Portable Real-Time Neuroimaging System
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0086733
Pubmed ID
Authors

Arkadiusz Stopczynski, Carsten Stahlhut, Jakob Eg Larsen, Michael Kai Petersen, Lars Kai Hansen

Abstract

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 applications with real-time 3D source reconstruction. The system--Smartphone Brain Scanner--combines an off-the-shelf neuroheadset or EEG cap with a smartphone or tablet, and as such represents the first fully portable system for real-time 3D EEG imaging. We discuss the benefits and challenges, including technical limitations as well as details of real-time reconstruction of 3D images of brain activity. We present examples of brain activity captured in a simple experiment involving imagined finger tapping, which shows that the acquired signal in a relevant brain region is similar to that obtained with standard EEG lab equipment. Although the quality of the signal in a mobile solution using an off-the-shelf consumer neuroheadset is lower than the signal obtained using high-density standard EEG equipment, we propose mobile application development may offset the disadvantages and provide completely new opportunities for neuroimaging in natural settings.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
United Kingdom 4 1%
Brazil 2 <1%
France 2 <1%
Cuba 2 <1%
Spain 2 <1%
Indonesia 1 <1%
Italy 1 <1%
Germany 1 <1%
Other 7 2%
Unknown 308 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 21%
Student > Master 62 18%
Researcher 51 15%
Student > Bachelor 30 9%
Other 20 6%
Other 75 22%
Unknown 29 9%
Readers by discipline Count As %
Psychology 70 21%
Computer Science 53 16%
Engineering 50 15%
Medicine and Dentistry 25 7%
Neuroscience 24 7%
Other 69 20%
Unknown 46 14%