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 ta...
This work develops and tests two Brain-Computer Interface (BCI) systems. The first one is a Steady-s...
This paper proposes a novel mobile healthcare system for remotely monitoring neuro-cognitive functio...
Abstract. Moving a brain-computer interface from a laboratory demonstration to real-life application...
<p>Neurofeedback training and real-time 3D source reconstruction running on Android mobile devices v...
It is increasingly viable to measure the brain activity of mobile users, as they go about their ever...
Electroencephalography is well-known for its importance in the diagnosis and treatment of mental and...
<p>Data are acquired in the first layer from the EEG hardware, passed to the Data Processing Layer, ...
Electroencephalography (EEG) is a clinical and research technique used to non-invasively acquire bra...
This Electroencephalogram (EEG) has been widely used to capture brain signals for affective recognit...
Our objective was to assess the ability of a smartphone-based electroencephalography (EEG) applicati...
Studying the brain in its natural state remains a major challenge for neuroscience. Solving this cha...
Electroencephalography (EEG) has emerged as a powerful tool for quantitatively studying the brain th...
Neural signals are everywhere just like mobile phones. We propose to use neural signals to control m...
Moving a brain–computer interface (BCI) system from a laboratory demonstration to real-life applicat...
Neural signals are everywhere just like mobile phones. We propose to use neural signals to control m...
This work develops and tests two Brain-Computer Interface (BCI) systems. The first one is a Steady-s...
This paper proposes a novel mobile healthcare system for remotely monitoring neuro-cognitive functio...
Abstract. Moving a brain-computer interface from a laboratory demonstration to real-life application...
<p>Neurofeedback training and real-time 3D source reconstruction running on Android mobile devices v...
It is increasingly viable to measure the brain activity of mobile users, as they go about their ever...
Electroencephalography is well-known for its importance in the diagnosis and treatment of mental and...
<p>Data are acquired in the first layer from the EEG hardware, passed to the Data Processing Layer, ...
Electroencephalography (EEG) is a clinical and research technique used to non-invasively acquire bra...
This Electroencephalogram (EEG) has been widely used to capture brain signals for affective recognit...
Our objective was to assess the ability of a smartphone-based electroencephalography (EEG) applicati...
Studying the brain in its natural state remains a major challenge for neuroscience. Solving this cha...
Electroencephalography (EEG) has emerged as a powerful tool for quantitatively studying the brain th...
Neural signals are everywhere just like mobile phones. We propose to use neural signals to control m...
Moving a brain–computer interface (BCI) system from a laboratory demonstration to real-life applicat...
Neural signals are everywhere just like mobile phones. We propose to use neural signals to control m...
This work develops and tests two Brain-Computer Interface (BCI) systems. The first one is a Steady-s...
This paper proposes a novel mobile healthcare system for remotely monitoring neuro-cognitive functio...
Abstract. Moving a brain-computer interface from a laboratory demonstration to real-life application...