Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset.

摘要: Recent advances in mobile electroencephalogram (EEG) systems, featuring non-prep dry electrodes and wireless telemetry, have urged the needs of brain-computer interfaces (BCIs) for applications our daily life. Since brain may behave differently while people are actively situated ecologically-valid environments versus highly-controlled laboratory environments, it remains unclear how well current laboratory-oriented BCI demonstrations can be translated into operational BCIs users with naturalistic movements. Understanding inherent links between natural human behaviors activities is key to ensuring applicability stability BCIs. This study aims assess quality steady-state visual-evoked potentials (SSVEPs), which one promising channels functioning recorded using a EEG system under challenging recording conditions, e.g., walking. To systemati-cally explore effects walking locomotion on SSVEPs, this instructed subjects stand or walk treadmill running at speeds 1, 2, 3 mile (s) per hour (MPH) con-currently perceiving visual flickers (11 12 Hz). Empirical results showed that SSVEP amplitude tended deteriorate when switched from standing Such suppression could attributed locomotion, leading distinctly deteriorated detectability (84.87±13.55%) (1 MPH: 83.03±13.24%, 2 79.47±13.53%, 75.26±17.89%). These findings not only demonstrated limitations SSVEPs freely behaving humans realistic but also provide useful methods techniques boosting translation technology practical applications.