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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: May 19, 2023
Date Accepted: Jul 12, 2023

The final, peer-reviewed published version of this preprint can be found here:

G Tolerance Prediction Model Using Mobile Device–Measured Cardiac Force Index for Military Aircrew: Observational Study

Kuo MH, Lin YJ, Huang WW, Chiang KT, Tu MY, Chu CM, Lai CY

G Tolerance Prediction Model Using Mobile Device–Measured Cardiac Force Index for Military Aircrew: Observational Study

JMIR Mhealth Uhealth 2023;11:e48812

DOI: 10.2196/48812

PMID: 37494088

PMCID: 10413232

Model for Predicting Military Aircrew’s G Tolerance on the Basis of Cardiac Force Index Determined Using Mobile Devices: An Observational Study

  • Ming-Hao Kuo; 
  • You-Jin Lin; 
  • Wun-Wei Huang; 
  • Kwo-Tsao Chiang; 
  • Min-Yu Tu; 
  • Chi-Ming Chu; 
  • Chung-Yu Lai

ABSTRACT

Background:

During flight, G force compels the blood to stay in the leg muscles and reduces the blood flow to the heart. Cardiovascular responses activated by the autonomic nerve system and strengthened by anti-G straining maneuvers can alleviate the challenges faced during G loading. To our knowledge, no definite cardiac information measured using a mobile health device exists for analyzing G tolerance. However, our previous study developed the cardiac force index (CFI) for analyzing the G tolerance of military aircrew.

Objective:

This study used the CFI to verify participants’ cardiac performance when walking and obtained a formula for predicting an individual’s G tolerance during centrifuge training.

Methods:

Participants from an Air Force aircrew undertook high G training from January 2020 to December 2022. Their heart rate (HR) in beats per minutes (bpm) and activity level per second were recorded using the wearable BioHarness 3.0 device. The CFI was computed using the following formula: weight × activity/HR during resting or walking. Relaxed G tolerance (RGT) and straining G tolerance (SGT) were assessed at a slowly increasing rate of G loading (0.1 G/s) during training. Other demographic factors were included in the multivariate regression to generate a model for predicting G tolerance from the CFI.

Results:

A total of 213 eligible trainees from the military aircrew were recruited. The average age was 25.61 ± 3.66 years, and 13.1% of the participants were women. The mean resting CFI (RCFI) and walking CFI (WCFI) were 0.016 ± 0.001 and 0.141 ± 0.037 kg × G/bpm, respectively. The models for predicting RGT and SGT were as follows: RGT = 0.066 × age + 0.043 × (WCFI × 100) – 0.037 × height + 0.015 × systolic blood pressure (SBP) – 0.009 × HR + 7.724 and SGT = 0.103 × (WCFI × 100) − 0.069 × height + 0.018 × SBP + 15.899. Thus, the WCFI is a positive factor for predicting the RGT and SGT before centrifuge training.

Conclusions:

The WCFI is a vital component of the formula for estimating G tolerance prior to training. The WCFI can be used to monitor physiological conditions against G stress.


 Citation

Please cite as:

Kuo MH, Lin YJ, Huang WW, Chiang KT, Tu MY, Chu CM, Lai CY

G Tolerance Prediction Model Using Mobile Device–Measured Cardiac Force Index for Military Aircrew: Observational Study

JMIR Mhealth Uhealth 2023;11:e48812

DOI: 10.2196/48812

PMID: 37494088

PMCID: 10413232

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