Validating a LEGO-Like EEG Headset for a Simultaneous Recording of Wet- and Dry-Electrode Systems During Treadmill Walking

摘要: Recent mobile and wearable electroencephalogram (EEG)-sensing technologies have been demonstrated to be effective for measuring rapid changes of spatio-spectral EEG correlates brain cognitive functions interest with more ecologically natural settings. However, commercial products are available commonly a fixed headset in terms the number electrodes their locations scalp practically constrains generalizability different demands brain-computer interface (BCI) study. While most progress focused on innovation sensing hardware conductive electrodes, less effort has done renovate mechanical structures an headset. Recently, electrode-holder assembly infrastructure was designed capable unlimitedly (re)assembling desired n-channel electrode through set primary elements (i.e., LEGO-like headset). The present work empirically one its advantage regarding coordinating homogeneous or heterogeneous sensors covering target regions brain. Towards this objective, 8-channel LEGO assembled conduct simultaneous event-related potential (ERP) recording wet- dry-electrode systems testify signal quality during standing still versus treadmill walking. results showed that both returned comparable P300 signal-to-noise ratio (SNR) standing, yet dry system susceptible movement artifacts slow facilitates benchmark study, e.g., comparing non-stationary subjects conducted work, specific BCI application.