Brain-computer interface (BCI) systems allow users to directly control computers and other machines by modulating their brain waves. In the present study, we investigated the effect of soft drinks on resting state (RS) EEG signals and BCI control. Eight healthy human volunteers each participated in three sessions of BCI cursor tasks and resting state EEG. During each session, the subjects drank an unlabeled soft drink with either sugar, caffeine, or neither ingredient. A comparison of resting state spectral power shows a substantial decrease in alpha and beta power after caffeine consumption relative to control. Despite attenuation of the frequency range used for the control signal, caffeine average BCI performance was the same as control. Our work provides a useful characterization of caffeine, the world's most popular stimulant, on brain signal frequencies and their effect on BCI performance.
|Original language||English (US)|
|Title of host publication||2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|State||Published - Oct 13 2016|
|Event||38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States|
Duration: Aug 16 2016 → Aug 20 2016
|Name||Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS|
|Other||38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016|
|Period||8/16/16 → 8/20/16|
Bibliographical noteFunding Information:
This work was supported in part by NSF CBET-1264782.
© 2016 IEEE.