The influence of fatigue on psychophysiological indicators during 24 hours testing of pilots

2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI:10.1109/SAMI.2019.8782724

L. Hanakova, V. Socha, L. Socha, A. Lališ, J. Kraus, Tomáš Malich

{"title":"The influence of fatigue on psychophysiological indicators during 24 hours testing of pilots","authors":"L. Hanakova, V. Socha, L. Socha, A. Lališ, J. Kraus, Tomáš Malich","doi":"10.1109/SAMI.2019.8782724","DOIUrl":null,"url":null,"abstract":"This study presents the issue of fatigue and its quantification by the means of psychophysiological indicators. For the purpose of the study, 24 hours experiment was proposed consisting of eight about an hour long simulated IFR flights. Eight students of the Department of Air Transport, Faculty of Transportation Sciences, Czech Technical University in Prague participated in the study, all with comparable theoretical and practical skills. During individual flights, ECG curve was recorded as a heart activity signal. From the ECG signal, individual RR intervals were extracted and subsequently an analysis in three areas was performed: time and frequency analysis and analysis by the means of Pointcaré plot. The acquired data were statistically evaluated and compared. Based on Friedman ANOVA and subsequent post-hoc analysis, statistically significant differences between first and sixth measurement were identified, which corresponded to the circadian low. It is also possible to claim that Pointcaré plot appears as a suitable means for fatigue quantification.","PeriodicalId":240256,"journal":{"name":"2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2019.8782724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

Abstract

This study presents the issue of fatigue and its quantification by the means of psychophysiological indicators. For the purpose of the study, 24 hours experiment was proposed consisting of eight about an hour long simulated IFR flights. Eight students of the Department of Air Transport, Faculty of Transportation Sciences, Czech Technical University in Prague participated in the study, all with comparable theoretical and practical skills. During individual flights, ECG curve was recorded as a heart activity signal. From the ECG signal, individual RR intervals were extracted and subsequently an analysis in three areas was performed: time and frequency analysis and analysis by the means of Pointcaré plot. The acquired data were statistically evaluated and compared. Based on Friedman ANOVA and subsequent post-hoc analysis, statistically significant differences between first and sixth measurement were identified, which corresponded to the circadian low. It is also possible to claim that Pointcaré plot appears as a suitable means for fatigue quantification.

查看原文本刊更多论文

疲劳对飞行员24小时测试中心理生理指标的影响

本研究提出了疲劳问题及其量化的心理生理指标的手段。为了研究的目的，提出了24小时的实验，包括8个大约一个小时的模拟IFR飞行。布拉格捷克技术大学运输科学学院航空运输系的八名学生参加了这项研究，他们都具有相当的理论和实践技能。在单次飞行中，记录心电图曲线作为心脏活动信号。从心电信号中提取单个RR区间，然后进行时间和频率分析以及点carcar图分析。对采集的数据进行统计评价和比较。基于Friedman方差分析和随后的事后分析，发现第一次和第六次测量之间存在统计学显著差异，这与昼夜节律低相对应。也可以认为点坐标图是疲劳量化的一种合适的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI)

自引率

0.00%

发文量