Citation

Popović NB, Miljković N, Stojmenova K, Jakus G, Prodanov M, Sodnik J. Sensors (Basel) 2019; 19(14): s19143175.

Affiliation

Faculty of Electrical Engineering, University of Ljubljana, Ljubljana 1000, Slovenia. jaka.sodnik@fe.uni-lj.si.

Copyright

(Copyright © 2019, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s19143175

PMID

31330938

Abstract

In the era of technological advances and innovations in transportation technologies, application of driving simulators for the investigation and assessment of the driving process provides a safe and suitable testing environment. Although driving simulators are crucial for further improvements in transportation, it is important to resolve one of their main disadvantages-simulator sickness. Therefore, suitable methods for the assessment of simulator sickness are required. The main aim of this paper was to present a non-invasive method for assessing simulator sickness by recording gastric myoelectrical activity-electrogastrography. Open-source hardware for electrogastrography together with recordings obtained in 13 healthy volunteers is presented, and the main aspects of signal processing for artifact cancellation and feature extraction were discussed. Based on the obtained results, it was concluded that slow-wave electrical gastric activity can be recorded during driving simulation by following adequate recommendations and that proposed features could be beneficial in describing non-ordinary electrogastrography signals.

Language: en

Keywords

driving simulation; electrogastrography; open-source hardware; simulator sickness