All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Monitoring the Pilot's Psychophysiological State by Using the Wavelet Transform

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F19%3A00336415" target="_blank" >RIV/68407700:21260/19:00336415 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Monitoring the Pilot's Psychophysiological State by Using the Wavelet Transform

  • Original language description

    During the flight, pilots are influenced by surrounding stimuli such as environment, gravity, mental state, et cetera, which may affect (in a negative way) the safety of flight. Standard evaluation methods of physiological parameters are used to monitor the pilot's state. The most commonly monitored and evaluated parameter is heart rate because it reflects the regulation of the autonomic nervous system. Based on the knowledge of evaluation of time series consisting of time intervals between two consecutive heartbeats, the spectrum analysis is used in specific frequency bands. Inter alia, such time series are evaluated in a time domain, or by nonlinear methods. Standard spectrum analysis or other nonlinear methods, however, do not contain time information. In other words, it is necessary to apply these analyses on time windows gradually scanning received signal which limits using these methods for real-time evaluation of the psychophysiological condition. This paper discusses the Wavelet Transform being it a method for processing the heart rate variability as it is/seems a perspective method for online monitoring of pilots' psychophysiological state. Measurement of subjects was conducted on a flight simulator and in the aircraft as well. Obtained knowledge might positively affect monitoring pilots in training by adjusting the training according to their specific needs.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50101 - Psychology (including human - machine relations)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    TRANSPORT MEANS 2019 - PROCEEDINGS OF THE 23rd INTERNATIONAL SCIENTIFIC CONFERENCE

  • ISBN

  • ISSN

    1822-296X

  • e-ISSN

    2351-7034

  • Number of pages

    6

  • Pages from-to

    835-840

  • Publisher name

    Kaunas University of Technology

  • Place of publication

    Kaunas

  • Event location

    Palanga

  • Event date

    Oct 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article