Korean J Aerosp Environ Med.  2024 Dec;34(4):101-107. 10.46246/KJAsEM.240023.

In-flight Electrocardiography Monitoring in a Pilot During Cross Country Flight

Affiliations
  • 1Chung Ang University College of Medicine, Seoul, Korea
  • 2Department of Internal Medicine, Chung Ang University College of Medicine, Seoul, Korea
  • 3Department of Aeronautical Science and Flight Operation, Korea National University of Transportation, Chungju, Korea
  • 4Department of Computer Software, Korean Bible University, Seoul, Korea
  • 5Aerospace Medical Association of Korea, Seoul, Korea

Abstract

Purpose
The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system.
Methods
In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight.
Results
Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15).
Conclusion
We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Keyword

In-flight; Electrocardiography; Pilots
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