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.

Record URL:
Record URL:
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00036870
Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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
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: Feb 27 2017 10:22AM