This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (889) Military Medicine (35) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Wellness, Behavior Change and Prevention (2872)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14116, first published .
Continuous Measurement of Reconnaissance Marines in Training With Custom Smartphone App and Watch: Observational Cohort Study

Continuous Measurement of Reconnaissance Marines in Training With Custom Smartphone App and Watch: Observational Cohort Study

Continuous Measurement of Reconnaissance Marines in Training With Custom Smartphone App and Watch: Observational Cohort Study

Authors of this article:

Leslie Saxon1 Author Orcid Image ;   Brooks DiPaula1 Author Orcid Image ;   Glenn R Fox1, 2 Author Orcid Image ;   Rebecca Ebert1 Author Orcid Image ;   Josiah Duhaime3 Author Orcid Image ;   Luciano Nocera4 Author Orcid Image ;   Luan Tran4 Author Orcid Image ;   Mona Sobhani1 Author Orcid Image
Article Authors Cited by (10) Tweetations (15) Metrics

Journals

  1. James O, Robinson D, Hopkins L, Bowman C, Powell A, Brown C, Bailey D, Egan R, Lewis W. Biosensors, Biomarkers and Biometrics: a Bootcamp Perspective. BMJ Simulation and Technology Enhanced Learning 2020:bmjstel-2020-000631 View
  2. Vaara J, Eränen L, Ojanen T, Pihlainen K, Nykänen T, Kallinen K, Heikkinen R, Kyröläinen H. Can Physiological and Psychological Factors Predict Dropout from Intense 10-Day Winter Military Survival Training?. International Journal of Environmental Research and Public Health 2020;17(23):9064 View
  3. Martinez-Martin N, Greely H, Cho M. Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study. JMIR mHealth and uHealth 2021;9(7):e27343 View
  4. Barrett T, Sobhani M, Fox G, Files B, Patitsas N, Duhaime J, Ebert R, Faulk R, Saxon L. Diverse predictors of early attrition in an elite Marine training school. Military Psychology 2022;34(4):388 View
  5. Dlima S, Shevade S, Menezes S, Ganju A. Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review. JMIR Bioinformatics and Biotechnology 2022;3(1):e39618 View
  6. Edwards N, Talarico M, Chaudhari A, Mansfield C, Oñate J. Use of accelerometers and inertial measurement units to quantify movement of tactical athletes: A systematic review. Applied Ergonomics 2023;109:103991 View
  7. Barrett T, Faulk R, Sergeant A, Boberg J, Bartels M, Colonel M, Saxon L. Force plate assessments in reconnaissance marine training company. BMC Sports Science, Medicine and Rehabilitation 2024;16(1) View
  8. Huijzer R, de Jonge P, Blaauw F, Baatenburg de Jong M, de Wit A, Den Hartigh R. Predicting special forces dropout via explainable machine learning. European Journal of Sport Science 2024;24(11):1564 View
  9. FEIGEL E, BIRD M, KOLTUN K, LOVALEKAR M, FORSE J, GAGE C, STEELE E, KARGL C, MARTIN B, BANNISTER A, CRUZ A, DOYLE T, FRIEDL K, NINDL B. Allostatic Load Is Associated with Overuse Musculoskeletal Injury during US Marine Corps Officer Candidates School. Medicine & Science in Sports & Exercise 2024;56(11):2220 View
  10. Forse J, Koltun K, Bird M, Lovalekar M, Feigel E, Steele E, Martin B, Nindl B. Low psychological resilience and physical fitness predict attrition from US Marine Corps Officer Candidate School training. Military Psychology 2024:1 View