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Electroencephalography (EEG) is an integral tool in neurocognitive researchworldwide. However, research grade EEG (32/64ch) systems are expensive and havecumbersome setup designed for clinical usage not suited for rugged environmentof field-studies outside lab. Further, the long setup-time of EEG can beintimidating to those who are restless subjects e.g., children or elderly.Off-the-shelf, low-cost, dry EEG devices (LCDE) have been proposed as promisingoptions. However, small number of electrodes in LCDE limit the detectionscalp-area reducing the utility of an LCDE only to a specific set of cognitivetasks based on the brain lobe scanned. This paper proposes a novel methodologyfor calibration of an LCDE (e.g., DREEM Headband) to identify the specificclass of cognitive tasks a LCDE is likely suited for. The methodology involvescomparative analysis of the recorded data using LCDE with EEG-like signalssimulated (using BESA Simulator software) by embedding dipole in a brain lobe.The simulated scalp activity and corresponding source analysis helps identifythe approximate regions of brain scanned by the LCDE device. On furthercomparative analysis of brain lobes source localized using Brain ElectricalSource Analysis (BESA software) helps characterize LCDE for cognitive tasks.The major findings conclude a list of psychological studies which can beperformed using various LCDE, capable of replacing traditional and expensivewet EEG systems in both inside and outside-lab settings.

Calibration of off-the-shelf low-cost wearable EEG headset for application in field studies