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Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48812, first published .
Person wearing a Zephyr BioHarness chest strap for heart rate monitoring

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

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

Journals

  1. Hsu C, Lee L, Chang H, Lai C, Kuo C, Chien K. Short-term Structural and Microvascular Ocular Changes Induced by Hypergravity Exposure During Human Centrifuge Training. Investigative Ophthalmology & Visual Science 2025;66(11):72 View
  2. LAI C, HUANG W, KUO C, TSAI W, CHANG C, CHANG N. Relationship between the G Tolerance, Physical Performance, and Cardiac Force Index in Male Aircrew: A Prospective Observational Study. Medicine & Science in Sports & Exercise 2025;57(10):2227 View
  3. Machado A, Ferreira D, Ferreira S, Almeida-Antunes N, Carvalho P, Melo P, Rocha N, Rodrigues M. A Systematic Review of Chest-Worn Sensors in Cardiac Assessment: Technologies, Advantages, and Limitations. Sensors 2025;25(19):6049 View
  4. Zhang B, Xu Z, Li X. GC-ViT: Graph Convolution-Augmented Vision Transformer for Pilot G-LOC Detection Through AU Correlation Learning. Aerospace 2026;13(1):93 View
  5. Bruno J, Thapa R, Montoro-Bombú R, Sarmento H. Toward safer skies - the role of NIRS and capnography in G-tolerance monitoring: A narrative review. International Journal of Sports Science & Coaching 2026 View
  6. Wang X, Wu H, Yang X, Wu Z, Zhao Y, Bao J, Liu Z. From G tolerance to physiological state monitoring: mechanisms and adaptive protection. Frontiers in Physiology 2026;17 View
  7. Harel M, Nakdimon I, Ben-Ari O. Factors associated with in-flight G-induced loss of consciousness (G-LOC) in military aircrew. BMJ Military Health 2026:military-2026-003318 View

Conference Proceedings

  1. Owen L, Smith J, Shin E, Bolton S. NAECON 2026 - IEEE National Aerospace and Electronics Conference. Predictive Modeling of G-Induced Loss of Consciousness (GLOC) Using Physiological Data and Machine Learning View