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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50101 - Psychology (including human - machine relations)
Result continuities
Project
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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
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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
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