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.

Highlights

  • In the last few years, the research communities studying human behavior have gained access to unprecedented computational and sensing power that basically ‘‘fits into a pocket’’

  • We present our work on the Smartphone Brain Scanner, investigate the feasibility of off-the-shelf, consumer-grade equipment in a neuroscience context, and build a mobile real-time platform for stimulus delivery, data acquisition, and processing with a focus on real-time imaging of brain activity

  • In particular we report on the results of a validation experiment comparing the system with a conventional EEG acquisition system in a prototypical application

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Summary

Introduction

In the last few years, the research communities studying human behavior have gained access to unprecedented computational and sensing power that basically ‘‘fits into a pocket’’. This has happened for both specialized equipment used for building research tools, such as Reality Mining Badges [1] or accelerometer sensors [2], and for consumer-grade, off-the-shelf devices. Smartphones and tablets are capable of sensing, processing, transmitting, and presenting information This has already had a significant impact on many research domains, such as social science [3], computer-human interaction [4], and mobile sensing [5,6]. We present our work on the Smartphone Brain Scanner, investigate the feasibility of off-the-shelf, consumer-grade equipment in a neuroscience context, and build a mobile real-time platform for stimulus delivery, data acquisition, and processing with a focus on real-time imaging of brain activity

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