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<p>The necessity of timely diagnostics and forecasting of the flight crew performance level under the influence of a&#xa0;combination of unfavorable factors that reduce the efficiency of professional activity and disrupt the functional state of pilots is considered. It is shown that “fatigue” is the most frequent functional state that occurs among pilots during aircraft operation. A&#xa0;method for assessing this functional state of civil aviation pilots has been developed, which is based on determining the value of the integral indicator with subsequent classification of a&#xa0;specific stage of the functional state, such as no fatigue, compensated, acute, chronic, and overfatigue. A&#xa0;set of physiological indicators has been determined, including heart rate, respiratory rate, fractional blood saturation level, and root-mean-square duration of the RR intervals. Based on such indicators, a&#xa0;functional dependence for calculating the integral indicator of the functional state has been obtained using the multiple linear regression method. A&#xa0;preliminary normalization of the physiological indicator values was performed using the Harrington membership function. The calculated values of the integral indicator vary between 0&#xa0;and 100%. The reliability of the proposed regression model has been statistically substantiated: all regression coefficients were confirmed using the Student’s <i>t</i>-test at a&#xa0;significance level of 0.01, and the calculated value of the determination coefficient was 0.934, confirming the high level of compliance of the obtained functional dependence with the original data. The proposed integral indicator of the functional state was verified for two control groups of pilots. The calculated pairwise correlation coefficients were 0.842 for the first group and 0.798 for the second group, indicating a&#xa0;strong positive correlation according to Pearson and, consequently, the consistency of the calculated values of the integral indicator of the functional state with expert assessments. The obtained results can be used in the design and development of devices for non-invasive diagnostics of the functional state, as well as in the field of clinical medicine for assessing the values of physiological indicators.</p>

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Integral indicator of the assessment of the “fatigue” functional state of an aircraft pilot

  • 期刊论文

  • 发表日期：

    2025年2月1日

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  • D. S. Koptev

摘要

The necessity of timely diagnostics and forecasting of the flight crew performance level under the influence of a combination of unfavorable factors that reduce the efficiency of professional activity and disrupt the functional state of pilots is considered. It is shown that “fatigue” is the most frequent functional state that occurs among pilots during aircraft operation. A method for assessing this functional state of civil aviation pilots has been developed, which is based on determining the value of the integral indicator with subsequent classification of a specific stage of the functional state, such as no fatigue, compensated, acute, chronic, and overfatigue. A set of physiological indicators has been determined, including heart rate, respiratory rate, fractional blood saturation level, and root-mean-square duration of the RR intervals. Based on such indicators, a functional dependence for calculating the integral indicator of the functional state has been obtained using the multiple linear regression method. A preliminary normalization of the physiological indicator values was performed using the Harrington membership function. The calculated values of the integral indicator vary between 0 and 100%. The reliability of the proposed regression model has been statistically substantiated: all regression coefficients were confirmed using the Student’s t-test at a significance level of 0.01, and the calculated value of the determination coefficient was 0.934, confirming the high level of compliance of the obtained functional dependence with the original data. The proposed integral indicator of the functional state was verified for two control groups of pilots. The calculated pairwise correlation coefficients were 0.842 for the first group and 0.798 for the second group, indicating a strong positive correlation according to Pearson and, consequently, the consistency of the calculated values of the integral indicator of the functional state with expert assessments. The obtained results can be used in the design and development of devices for non-invasive diagnostics of the functional state, as well as in the field of clinical medicine for assessing the values of physiological indicators.