Conference proceeding
fNIR spectroscopy as a measure of cognitive task load
Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), v 4, pp 3431-3434 Vol.4
2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Functional near infrared (fNIR) sensor measures hemodynamic changes in the cortex using a portable, safe, affordable and negligibly intrusive NIR based optical brain imaging system. We hypothesize that there is a positive correlation between blood oxygenation in the relevant areas of dorsolateral prefrontal cortex and cognitive effort defined as attention and working memory. In this paper, we present the employment of the fNIR sensor to assess the cognitive state of the user. The paper also introduces the experimental setup and analysis of the fNIR data acquired from the forehead during a video-game like task namely, "Warship Commander Task" (WCT). In the WCT, the primary task is air warfare management. While performing the air warfare task, task difficulty and task load are manipulated by changing the number of tracks per wave and the number of more difficult "yellow" tracks. We explored in this paper, the correlation between cognitive task load, the subject's performance and dorsolateral prefrontal cortex oxygenation level changes. Our data analysis results show that fNIR blood oxygenation changes are significantly sensitive to wave size (task load) changes.
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Details
- Title
- fNIR spectroscopy as a measure of cognitive task load
- Creators
- K Izzetoglu - Drexel UniversityS Bunce - Penn State Neuroscience InstituteM Izzetoglu - Drexel UniversityB Onaral - Drexel UniversityK Pourrezaei - Drexel University
- Publication Details
- Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), v 4, pp 3431-3434 Vol.4
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000189395300889
- Other Identifier
- 991019168161204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Cardiac & Cardiovascular Systems
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Medicine, Research & Experimental
- Neurosciences
- Radiology, Nuclear Medicine & Medical Imaging