Toward a Hybrid Passive BCI for the Modulation of Sustained Attention Using EEG and fNIRS.

ABSTRACT: We report results of a study that utilizes a BCI to drive an interactive interface countermeasure that allows users to self-regulate sustained attention while performing an ecologically valid, long-duration business logistics task. An engagement index derived from EEG signals was used to drive the BCI while fNIRS measured hemodynamic activity for the duration of the task. Participants (n = 30) were split into three groups (1) no countermeasures (NOCM), (2) continuous countermeasures (CCM), and (3) event synchronized, level-dependent countermeasures (ECM). We hypothesized that the ability to self-regulate sustained attention through a neurofeedback mechanism would result in greater task engagement, decreased error rate and improved task performance. Data were analyzed by wavelet coherence a

SUBMITTER: Karran AJ 

PROVIDER: S-EPMC6851201 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature