Pilots psychophysiological condition assesment

Authors

  • Michaela Šerlová
  • Sarah Van den Bergh
  • Vladimír Socha
  • Lenka Hanáková

DOI:

https://doi.org/10.14311/MAD.2018.04.02

Keywords:

Air transportation — Flight simulator — Heart rate — Variability — Pilots psychophysiological state — Wavelet transform

Abstract

Due to increasing safety standards in air transport, the emphasis is put on human factors in this domain. This
regards especially the improvement of piloting precision during flight training and the elimination of internal and
external influences with negative effect on pilots. This paper is focused on evaluation of pilot’s psychophysiological
state during flight training on a simulator and in an aircraft and also on pilot’s reaction on transfer from analogue
to digital visual presentation of avionic data. The best indicator for evaluating human’s psychophysiological
condition could be a heart rate because of its descriptive activity of human heart and its psychophysiological
character based on sympathovagal balance of autonomic nervous system. In this paper heart rate frequency
is measured by FlexiGuard biotelemetry mobile device and by a Garmin c
 chest belt. This paper is oriented
towards description and comparison of the most common methods for physiological parameters assessment, i.e.
time and frequency domain analysis and non-parametric methods analysis. The paper also describes a wavelet
transform. The results show that not every parameter resulting from each analysis could be a good indicator
describing pilot’s stress. Results also show which parameters might work as good indicators of pilot’s stress
– those are LF/HF ratio and parameters measured by wavelet transform. Best way to define pilot’s stress on
simulators in real time indicates to be wavelet.

References

European Aviation Safety Agency. European plan

for aviation safety (epas): 2018 – 2022, 2017. URL

https://www.easa.europa.eu/sites/

default/files/dfu/EPAS_2018-2022%20v2.

8%20for%20MB.pdf. [Online].

European Aviation Safety Agency. European plan for aviation

safety: 2016 – 2020, 2016. URL https://www.

easa.europa.eu/sites/default/files/

dfu/EPAS%202016-2020%20FINAL.PDF. [Online].

ICAO. Accident Statistics, 2018. URL

https://www.icao.int/safety/iStars/

Pages/Accident-Statistics.aspx. [Online].

Glenn F Wilson and Frank Fisher. The use of multiple

physiological measures to determine flight segment in f4

pilots. In Aerospace and Electronics Conference, 1990.

NAECON 1990., Proceedings of the IEEE 1990 National,

pages 859–861. IEEE, 1990.

Malcolm A. Bonner and Glenn F. Wilson. Heart rate

measures of flight test and evaluation. The International

Journal of Aviation Psychology, 12(1):63–77, jan 2002.

doi: 10.1207/s15327108ijap1201 6. URL https://

doi.org/10.1207/s15327108ijap1201_6.

P. Hoogeboom, M. Joosse, H. Hodgetts, S. Straussberger,

and D. Schaefer. Does the “silent cockpit” reduce

pilot workload? In The 23rd Digital Avionics

Systems Conference (IEEE Cat. No.04CH37576). IEEE,

doi: 10.1109/dasc.2004.1391346. URL https:

//doi.org/10.1109/dasc.2004.1391346.

V.Socha, L.Socha, J. Schlenker, K. Hána, L. Hanakova,

B. Mihalčová, A. Lalis, P. Smrcka, and D. Hůlek.

Evaluation of pilots’ psychophysiological condition

using recurrence quantification analysis of heart rate variability.

In Proc. Of Transport Means 2016, Juodkrante,

Lithuania, 2016. Kaunas University. URL https:

//www.researchgate.net/publication/

_Evaluation_of_Pilots%27_

Psychophysiological_Condition_Using_

Recurrence_Quantification_Analysis_

of_Heart_Rate_Variability.

Marek Regula, Vladimir Socha, Patrik Kutilek, Lubos

Socha, Karel Hana, Lenka Hanakova, and Stanislav Szabo.

Study of heart rate as the main stress indicator

in aircraft pilots. In Proceedings of the 16th International

Conference on Mechatronics - Mechatronika

IEEE, dec 2014. doi: 10.1109/mechatronika.2014.

URL https://doi.org/10.1109/

mechatronika.2014.7018334.

Lenka Hanakova, Vladimir Socha, Lubos Socha,

Stanislav Szabo, Jaroslaw Kozuba, Andrej Lalis, Peter

Vittek, Jakub Kraus, Robert Rozenberg, Peter Kalavsky,

Martin Novak, Jakub Schlenker, and Stanislav Kusmirek.

Determining importance of physiological parameters and

methods of their evaluation for classification of pilots psychophysiological

condition. In 2017 International Conference

on Military Technologies (ICMT). IEEE, may 2017.

doi: 10.1109/miltechs.2017.7988810. URL https://

doi.org/10.1109/miltechs.2017.7988810.

Petr Heřman. Biosign´aly z pohledu biofyziky. Petr

Heˇrman - D´ulos, Praha, 2006. ISBN 80-902899-7-5.

In Czech.

Radomir Cihak. Anatomie. Grada, Praha, 2001. ISBN

-247-1132-X. In Czech.

Fred Shaffer and J. P. Ginsberg. An overview of

heart rate variability metrics and norms. Frontiers

in Public Health, 5, sep 2017. doi: 10.3389/fpubh.

00258. URL https://doi.org/10.3389/

fpubh.2017.00258.

Andrea Haarmann, Wolfram Boucsein, and Florian

Schaefer. Combining electrodermal responses and

cardiovascular measures for probing adaptive automation

during simulated flight. Applied Ergonomics,

(6):1026–1040, nov 2009. doi: 10.1016/j.apergo.

04.011. URL https://doi.org/10.1016/

j.apergo.2009.04.011.

Paul Addison. The illustrated wavelet transform handbook

: introductory theory and applications in science,

engineering, medicine and finance. CRC Press, Taylor

& Francis Group, Boca Raton, FL, 2016. ISBN

M. Penhaker, M. Cˇ erny´, L. Martina´k, and J. Spisˇa´k.

Biotelemetry system of humans. IFAC Proceedings

Volumes, 39(21):406–411, feb 2006. doi: 10.1016/

s1474-6670(17)30220-3. URL https://doi.org/

1016/s1474-6670(17)30220-3.

Jakub Schlenker, Vladimir Socha, Pavel Smrcka, Karel

Hana, Vladimir Begera, Patrik Kutilek, Zdenek Hon, Jan

Kaspar, Lukas Kucera, Jan Muzik, Tomas Vesely, and

Martin Viteznik. FlexiGuard: Modular biotelemetry system

for military applications. In International Conference

on Military Technologies (ICMT) 2015. IEEE, may 2015.

doi: 10.1109/miltechs.2015.7153712. URL https://

doi.org/10.1109/miltechs.2015.7153712.

Keya Rani Das. A brief review of tests for normality.

American Journal of Theoretical and Applied

Statistics, 5(1):5, 2016. doi: 10.11648/j.

ajtas.20160501.12. URL https://doi.org/10.

/j.ajtas.20160501.12.

Elise Whitley and Jonathan Ball. Statistics review 6:

Nonparametric methods. Critical Care, 6(6):509, 2002.

doi: 10.1186/cc1820. URL https://doi.org/10.

/cc1820.

Downloads

Published

2018-10-15

Issue

Section

Specialized Articles