Käthner, Ivo and Wriessnegger, Selina C and Müller-Putz, Gernot R and Kübler, Andrea and Halder, Sebastian (2014) Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface. Biological Psychology, 102 (1). pp. 118-129. DOI https://doi.org/10.1016/j.biopsycho.2014.07.014
Käthner, Ivo and Wriessnegger, Selina C and Müller-Putz, Gernot R and Kübler, Andrea and Halder, Sebastian (2014) Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface. Biological Psychology, 102 (1). pp. 118-129. DOI https://doi.org/10.1016/j.biopsycho.2014.07.014
Käthner, Ivo and Wriessnegger, Selina C and Müller-Putz, Gernot R and Kübler, Andrea and Halder, Sebastian (2014) Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface. Biological Psychology, 102 (1). pp. 118-129. DOI https://doi.org/10.1016/j.biopsycho.2014.07.014
Abstract
The study aimed at revealing electrophysiological indicators of mental workload and fatigue during prolonged usage of a P300 brain–computer interface (BCI). Mental workload was experimentally manipulated with dichotic listening tasks. Medium and high workload conditions alternated. Behavioral measures confirmed that the manipulation of mental workload was successful. Reduced P300 amplitude was found for the high workload condition. Along with lower performance and an increase in the subjective level of fatigue, an increase of power in the alpha band was found for the last as compared to the first run of both conditions. The study confirms that a combination of signals derived from the time and frequency domain of the electroencephalogram is promising for the online detection of workload and fatigue. It also demonstrates that satisfactory accuracies can be achieved by healthy participants with the P300 speller, despite constant distraction and when pursuing the task for a long time.
Item Type: | Article |
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Uncontrolled Keywords: | Brain-computer interface; EEG; P300; Alpha; Mental workload; Fatigue |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 17 Aug 2020 13:23 |
Last Modified: | 30 Oct 2024 17:25 |
URI: | http://repository.essex.ac.uk/id/eprint/24679 |