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Analysis of Heart Rate Variability During Emergency Flight Simulator Missions in Fighter Pilots

Analysis of Heart Rate Variability During Emergency Flight Simulator Missions in Fighter Pilots

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04487899
Enrollment
18
Registered
2020-07-27
Start date
2019-10-01
Completion date
2020-03-10
Last updated
2022-09-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Autonomic Nervous System, Heart Rate Variability

Keywords

Emergency missions, Assesment, Military Health Services, heart rate variability, autonomic nervous system

Brief summary

The autonomous response of fighter and attack pilots who attend sessions in a flight simulator will be evaluated by measuring and analyzing heart rate variability (HRV).

Detailed description

The autonomous response of fighter and attack pilots during emergency situations in a flight simulator will be assessed by measuring and analysing heart rate variability (HRV). Eighteen pilots with instructor or student status assigned at the time of the evaluation to the ALA 23 district of the Talavera la Real Air Base of the Ministry of Defence of the Spanish Government (Badajoz) were studied during emergency situations in flight simulator. Subjects were assigned by non-probabilistic randomisation to an instructor group (IG; 7 subjects), and to a student group (AG; 11 subjects). The recording of the parameters indicated corresponds to the emergency situations described above. Data collection was made in three different moments: 1. Take-off: it starts after reading the checklist until the engine fault is resolved. 2. Flight: during manoeuvres characterised by the recovery of abnormal positions. 3. Landing: where the pilot performs the landing manoeuvre, with the loss of spatial situation.

Interventions

DEVICEAnalysis of heart rate variability

The HR HRV interval of the heartbeat (variations in the time interval between beats) was used as a measure of autonomous modulation, and the Firstbeat Bodyguard monitor (Firstbeat Technologies, Jyväskylä, Finland) was used to record HRV data during the session with emergency situations in the flight simulator. Data was downloaded from the devices to a computer using Firstbeat Uploader software (Firstbeat Technologies), and all R-R interval series were imported into the Kubios software package (University of Eastern Finland, Kuopio, Finland). To calculate the autonomous equilibrium, the commonly used HRV method based on the Poincaré graph was used (Brennan et al., 2001; Mourot et al., 2004).

Sponsors

Universidad de Extremadura
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Pilots who had the status of instructor or student assigned at the time of assessment to the ALA 23 district of the Talavera la Real Air Base of the Ministry of Defense of the Government of Spain (Badajoz).

Exclusion criteria

* Any uncontrolled neurological or cardiac disorder. * Being involved in ongoing medical-legal conflicts.

Design outcomes

Primary

MeasureTime frameDescription
Root Mean Square of the Successive Differences (RMSSD)1 weekIt indicates the degree of activation of the Parasympathetic Nervous System on the cardiovascular system. It is obtained from the square root of the mean value of the sum of the squared differences of all successive RR intervals. This parameter reports the short-term variations of the RR intervals. It is directly associated with short-term variability.
Stress Score1 weekIt is an index described by Naranjo-Orellana et al. to facilitate physiological interpretation of Poincaré plot. It is expressed as the inverse of the SD2 diameter multiplied by 1000 and is considered directly proportional to the sympathetic activity in the sinus node.
Sympathetic/parasympathetic ratio (S/PS)1 weekIt is also described by Naranjo-Orellana et al., S/PS is expressed as the quotient of SS and SD1, and it is considered to reflect autonomic balance - that is, the relationship between sympathetic and parasympathetic activity

Secondary

MeasureTime frameDescription
Max_HR1 weekMaximum heart rate variability.
Mean_HR1 weekIt corresponds to the interval between two beats (R peaks on the ECG).
pNN501 weekPercentage of consecutive RR intervals that differ by more than 50 ms from each other. A high value of pNN50 provides valuable information about high spontaneous HR.
Standard Deviation 1 (SD1)1 weekIt indicates the sensitivity of short-term variability in HRV non-linear spectrum. It is considered an indicator of parasympathetic activity.
High Frequency Power (HF)1 weekThey are located between 0.15 and 0.4 Hz. HF is clearly related to PNS activity and has a relaxation-related effect on HR2.
Low/High Frequency ratio (HF/LF)1 weekFrom low frequency and high frequency ratio of the HRV spectral analysis result we can estimate the vagal (related to relaxation and HF) and sympathetic (related to stress and LF) influence. Thus we can estimate sympathetic-vagal balance.
Low Frequency Power (LF)1 weekSituated between 0.04 and 0.15 Hz. In long-term recordings it provides us with more information about the activity of the SNS.
Standard Deviation 2 (SD2)1 weekIt is a diameter from Poincaré plot which indicates the degree of longitudinal dispersion. It is thought to reflect long-term changes in RR intervals and it is considered an inverse indicator of parasympathetic activity.
Min_HR1 weekMinimum heart rate variability.

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 6, 2026