Electrocardiographic Features for the Measurement of Drivers' Mental Workload
This study examines the effect of mental workload on the electrocardiogram (ECG) of participants driving the Lane Change Task (LCT). Different levels of mental workload were induced by a secondary task (n-back task) with three levels of difficulty. Subjective data showed a significant increase of the experienced workload over all three levels. An exploratory approach was chosen to extract a large number of rhythmical and morphological features from the ECG signal thereby identifying those which differentiated best between the levels of mental workload. No single rhythmical or morphological feature was able to differentiate between all three levels. A group of parameters were extracted which were at least able to discriminate between two levels. For future research, a combination of features is recommended to achieve best diagnosticity for different levels of mental workload.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00036870
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Heine, Tobias
- Lenis, Gustavo
- Reichensperger, Patrick
- Beran, Tobias
- Doessel, Olaf
- Deml, Barbara
- Publication Date: 2017-5
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 31-43
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Serial:
- Applied Ergonomics
- Volume: 61
- Publisher: Elsevier
- ISSN: 0003-6870
- EISSN: 1872-9126
- Serial URL: http://www.sciencedirect.com/science/journal/00036870
Subject/Index Terms
- TRT Terms: Driver performance; Electrocardiography; Heart rate; Human factors; Lane changing; Workload
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01628009
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 1 2017 9:05AM