While research-quality electroencephalogram (EEG) systems can be made much smaller than other established brain activity recording technologies such as magnetic resonance imaging (MRI), near-infrared spectroscopy (NIRS) and magnetoencephalography (MEG), modern EEG systems still weigh several kilograms. Presently, the non-invasive monitoring of human brain activity is bound to stationary, highly controlled and often artificial laboratory conditions 1. These findings demonstrate the feasibility of concealed and comfortable brain activity acquisition over many hours. Moreover, a linear classifier trained on data from the morning session revealed similar performance in classification accuracy for the morning and the afternoon sessions (both > 70%). The ERP results confirmed the predicted condition effects with significantly larger P300 amplitudes for target compared to standard tones and a high test-retest reliability of the P300 amplitude (r > = .74). Analysis of resting EEG data confirmed well-known spectral differences between eyes open and eyes closed conditions. Using a smartphone for stimulus delivery and signal acquisition, resting EEG and auditory oddball data were collected in the morning and in the afternoon six to seven hours apart. Ten participants wore two cEEGrid systems for at least seven hours. This study presents first evidence that reliable EEG data can be recorded with a new cEEGrid electrode array, which consists of ten electrodes printed on flexible sheet and arranged in a c-shape to fit around the ear.
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