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Evaluation of Pilots’ Psychophysiological Condition using Recurrence Quantification Analysis of Heart Rate Variability

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F16%3A00302221" target="_blank" >RIV/68407700:21260/16:00302221 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/68407700:21460/16:00302221

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Evaluation of Pilots’ Psychophysiological Condition using Recurrence Quantification Analysis of Heart Rate Variability

  • Popis výsledku v původním jazyce

    Psychological discomfort or increased stress can negatively influence performing specific activities mainly concerning professions which are responsible for human lives. Such group of professionals includes aviation specialists, especially pilots. Psychophysiological state is indicated by certain physiological parameters by means of which it is possible to describe it. There is a wide range of methods for signal processing of measured physiological parameters which are, however, based on linear methods. This paper deals with application of non-linear method, the so-called recurrence quantification analysis for evaluation of psychophysiological state of pilots. For this purpose, R-R interval recording of pilots in training was conducted by the means of wearable telemetric system. Research sample consisted of 35 beginner pilots and measurements were performed during both simulated and real flights. Measured signal processing was done using standard time-series analysis (Mean R-R and SDNN) and also using recurrence quantification analysis. The results indicate that both standard and recurrence quantification analysis parameters were able to distinguish between two groups of measurements (simulated vs. real flights) at the significance level of p<0.05. Apart from that, the results indicate considerable increase of heart rate frequency and decrease in its variability during real flights.

  • Název v anglickém jazyce

    Evaluation of Pilots’ Psychophysiological Condition using Recurrence Quantification Analysis of Heart Rate Variability

  • Popis výsledku anglicky

    Psychological discomfort or increased stress can negatively influence performing specific activities mainly concerning professions which are responsible for human lives. Such group of professionals includes aviation specialists, especially pilots. Psychophysiological state is indicated by certain physiological parameters by means of which it is possible to describe it. There is a wide range of methods for signal processing of measured physiological parameters which are, however, based on linear methods. This paper deals with application of non-linear method, the so-called recurrence quantification analysis for evaluation of psychophysiological state of pilots. For this purpose, R-R interval recording of pilots in training was conducted by the means of wearable telemetric system. Research sample consisted of 35 beginner pilots and measurements were performed during both simulated and real flights. Measured signal processing was done using standard time-series analysis (Mean R-R and SDNN) and also using recurrence quantification analysis. The results indicate that both standard and recurrence quantification analysis parameters were able to distinguish between two groups of measurements (simulated vs. real flights) at the significance level of p<0.05. Apart from that, the results indicate considerable increase of heart rate frequency and decrease in its variability during real flights.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

    JU - Aeronautika, aerodynamika, letadla

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů