Research Article
Personalized Characterization of Sustained Attention/Vigilance in Healthy Children
@INPROCEEDINGS{10.1007/978-3-319-49655-9_35, author={Paruthi Pradhapan and Richard Griffioen and Marcel Clerx and Vojkan Mihajlović}, title={Personalized Characterization of Sustained Attention/Vigilance in Healthy Children}, proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers}, proceedings_a={EHEALTH360}, year={2017}, month={1}, keywords={Electroencephalography SART Sustained attention Vigilance Personalization Children Cognition}, doi={10.1007/978-3-319-49655-9_35} }- Paruthi Pradhapan
Richard Griffioen
Marcel Clerx
Vojkan Mihajlović
Year: 2017
Personalized Characterization of Sustained Attention/Vigilance in Healthy Children
EHEALTH360
Springer
DOI: 10.1007/978-3-319-49655-9_35
Abstract
Baseline shifts in electroencephalography (EEG) spectral response, in combination with phasic activity, can result in poor performance in sustaining attention. To explore the contribution of tonic response changes, we studied the 10 s segments preceding cues of correct and incorrect responses during target stimuli of an attention paradigm. The goal was to determine metrics that indicate tonic differences in spectral response between error and no error trials while performing a Sustained Attention to Response Task (SART) in a non-clinical setting. Data was recorded on 9 healthy children using IMEC’s 8-channel wearable EEG headset with conductive polymer electrodes. In addition to fixed frequency bands, personalized bands based on individual alpha peak frequencies, were computed to account for inter-subject variability. The results indicate that relative theta and alpha power, along with their ratios, is a reliable metric indicating periods of attention or its lapses. The current results are a promising step towards understanding the cognitive responses of a healthy brain and potentially using them to assess the mental health of subjects undergoing training or treatment. Obtaining these results would not be possible without the use of a wireless dry electrode EEG headset, which demonstrates the essential role wearable devices have in monitoring cognition outside the clinical environment.
