Electroencephalogram based biomarkers for tracking the Cognitive workload of operators in process industries

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dc.contributor.author Iqbal, Mohd Umair
dc.contributor.author Srinivasan, Babji
dc.contributor.author Srinivasan, Rajagopalan
dc.date.accessioned 2019-08-14T12:22:36Z
dc.date.available 2019-08-14T12:22:36Z
dc.date.issued 2019-08
dc.identifier.citation Iqbal, Mohd Umair; Srinivasan, Babji and Srinivasan, Rajagopalan, "Electroencephalogram based biomarkers for tracking the Cognitive workload of operators in process industries", Computer Aided Chemical Engineering, DOI: 10.1016/B978-0-12-818634-3.50233-2, vol. 46, pp. 1393-1398, Aug. 2019. en_US
dc.identifier.issn 1570-7946
dc.identifier.uri https://doi.org/10.1016/B978-0-12-818634-3.50233-2
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4655
dc.description.abstract Human errors are a root cause of majority of accidents occurring in the process industry. These errors are often a result of excessive workload on operators, especially during abnormal situations. Understanding and measurement of cognitive workload (overload), experienced by human operators while performing key safety critical tasks, is thus important to the understanding of human errors. Subjective measurements of workload are often not reliable and there is a need for physiological based parameters of workload. In this work, we propose a methodology to measure cognitive load of a control room operator in terms of a biomarker, specifically theta/alpha ratio, obtained from a single electrode EEG signal. Real-time detection of the biomarker can enable minimize errors and improve safety.
dc.description.statementofresponsibility by Mohd Umair Iqbal, Babji Srinivasan and Rajagopalan Srinivasan
dc.format.extent vol. 46, pp. 1393-1398
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject EEG en_US
dc.subject human errors en_US
dc.subject cognitive workload en_US
dc.subject safety en_US
dc.title Electroencephalogram based biomarkers for tracking the Cognitive workload of operators in process industries en_US
dc.type Article en_US
dc.relation.journal Computer Aided Chemical Engineering


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