Telemetry System Utilization for Stress Monitoring of Pilots During Training


  • Luboš Socha Faculty of Aeronautics, Technical University of Košice
  • Lenka Hanáková Czech Technical University in Prague, Faculty of Transportation Sciences
  • Vladimír Socha Czech Technical University in Prague, Faculty of Transportation Sciences
  • Andrej Lališ Czech Technical University in Prague, Faculty of Transportation Sciences
  • Róbert Rozenberg Faculty of Aeronautics, Technical University of Košice
  • Karel Hána Czech Technical University in Prague University Centre for Energy Efficient Buildings



Aviation, Heart rate, Mental workload, Mental stress, Telemetry system


Air transport development brings an increased focus on the safety of piloting. The safety conditions can be assessed by mental workload. Psychic discomfort or excessive stress on pilots can negatively influence the course of flights. Therefore it appears convenient to monitor such parameters, which represent the mental wellbeing, or discomfort of a pilot. Since physiological measurements can provide a good information about mental workload or stress, this work primarily focuses on the observation of the change in heart rate, as it is an indicator of stress during the training of pilots, using the designed modular telemetry system. Another aim of this study is to evaluate the influence of a change in the avionic data visualization. This can have an unfavorable effect on the piloting of an airplane. This work, based on the evaluation of heart rate shows, that the switch from analog visualization to glass cockpit creates increased levels of stress in pilots, which was proved for all examined subjects except one. Significant level of correlation in the heart beat rate change in subjects in the course of training was also discovered.

Author Biographies

Luboš Socha, Faculty of Aeronautics, Technical University of Košice

Department of Air Transport Management

Lenka Hanáková, Czech Technical University in Prague, Faculty of Transportation Sciences

Department of Air Transport

Vladimír Socha, Czech Technical University in Prague, Faculty of Transportation Sciences

Department of Air Transport

Andrej Lališ, Czech Technical University in Prague, Faculty of Transportation Sciences

Department of Air Transport

Róbert Rozenberg, Faculty of Aeronautics, Technical University of Košice

Department of Flight Training


H. Zhang, X. Wanyan, D. Zhuang, and X. Wu. Study on comprehensive evaluation method of pilot mental workload. In 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics. Institute of Electrical & Electronics Engineers (IEEE), aug 2014. doi: 10.1109/ihmsc.2014.35. URL

Z. Wei, D. Zhuang, X. Wanyan, Ch. Liu, and H. Zhuang. A model for discrimination and prediction of mental workload of aircraft cockpit display interface. Chinese Journal of Aeronautics, 27(5):1070–1077, oct 2014. doi:10.1016/j.cja.2014.09.002. URL

G. Borghini, L. Astolfi, G. Vecchiato, Do. Mattia, and Fa. Babiloni. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. Neuroscience & Biobehavioral Reviews, 44:58–75, jul 2014. doi: 10.1016/j.neubiorev.2012.10.003. URL

A. Haarmann, W. Boucsein, and F. Schaefer. Combining electrodermal responses and cardiovascular measures for probing adaptive automation during simulated flight. Applied Ergonomics, 40(6):1026–1040, nov 2009. doi:10.1016/j.apergo.2009.04.011. URL

J.A. Veltman and A.W.K. Gaillard. Physiological indices of workload in a simulated flight task. Biological Psychology, 42(3):323–342, feb 1996. doi: 10.1016/0301-0511(95)05165-1. URL

M. Causse, J.-M. Sénard, J.F. Démonet, and J. Pastor. Monitoring cognitive and emotional processes through pupil and cardiac response during dynamic versus logical task. Applied Psychophysiology and Biofeedback, 35(2):115–123, oct 2009. doi: 10.1007/s10484-009-9115-0. URL

B. Johannes, V. Salnitski, H. Soll, M. Rauch, and H.-J. Hoermann. De-individualized psychophysiological strain assessment during a flight simulation test—validation of a space methodology. Acta Astronautica, 63(7-10):791–799, oct 2008. doi: 10.1016/j.actaastro.2008.03.017. URL

P. Lehrer, M. Karavidas, S.-E. Lu, E. Vaschillo, B. Vaschillo, and A. Cheng. Cardiac data increase association between self-report and both expert ratings of task load and task performance in flight simulator tasks: An exploratory study. International Journal of Psychophysiology, 76(2):80–87, may 2010. doi: 10.1016/j.ijpsycho.2010.02.006. URL

C. Schubert, M. Lambertz, R.A. Nelesen, W. Bardwell, J.-B. Choi, and J.E. Dimsdale. Effects of stress on heart rate complexity—a comparison between shortterm and chronic stress. Biological Psychology, 80(3):325–332, mar 2009. doi: 10.1016/j.biopsycho.2008.11.005. URL

D.W. Watson. Physiological correlates of heart rate variability (HRV) and the subjective assessment of workload and fatigue in-flight crew: a practical study. In People in Control. Human Factors in Control Room Design. Institution of Engineering and Technology (IET), 2001. doi:10.1049/cp:20010453. URL

Ch. Papadelis, Ch. Kourtidou-Papadeli, P. Bamidis, and M. Albani. Effects of imagery training on cognitive performance and use of physiological measures as an assessment tool of mental effort. Brain and Cognition, 64(1):74–85, jun 2007. doi: 10.1016/j.bandc.2007.01.001. URL

M.A. Bonner and G.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

National Transportation Safety Board. Annual review of aircraft accident data, U.S. general aviation, calendar year 2005, 2005. URL [Online].

R. Rozenberg and S. Szabo. Criteria of selecting pilots for aerobatic teams. In Aeronautika 2013. Technical University of Kosice, 2013.

C.M. Jarque and A.K. Bera. A test for normality of observations and regression residuals. International Statistical Review / Revue Internationale de Statistique, 55(2):163, aug 1987. doi: 10.2307/1403192. URL

L. Myers and M.J. Sirois. Spearman correlation coefficients, differences between. Wiley StatsRef: Statistics Reference Online, 2006. doi: 10.1002/9781118445112.stat02802. URL

J.B. Bricker. Development and evaluation of the air travel stress scale. Journal of Counseling Psychology, 52(4):615, 2005. doi: 10.1037/0022-0167. 52.4.615. URL

R. Orsila, M. Virtanen, T. Luukkaala, M. Tarvainen, P. Karjalainen, J. Viik, M. Savinainen, and C.-H. Nygard. Perceived mental stress and reactions in heart rate variability—a pilot study among employees of an electronics company. International Journal of Occupational Safety and Ergonomics, 14(3):275–283, jan 2008. doi: 10.1080/10803548.2008.11076767. URL






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