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

Kód výsledku v 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>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50101 - Psychology (including human - machine relations)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

—

ISSN

1822-296X

e-ISSN

2351-7034

Počet stran výsledku

6

Strana od-do

835-840

Název nakladatele

Kaunas University of Technology

Místo vydání

Kaunas

Místo konání akce

Palanga

Datum konání akce

2. 10. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—