PHYSIOLOGICAL MONITORING AND ASSESSMENT OF MARINE PHYSICAL READINESS DURING ARDUOUS MILITARY TRAININ

Abstract

Musculoskeletal injuries among military personnel can cause loss of physical readiness, disability, increased-financial cost, and at,trition. This further leads to a burden among the military health care system and-subsequent deployment. Recently the Army Public He,alth Command, Health of the Force Report 2020 published that-50% of soldiers experienced an injury resulting in 2 million medical en,counters and 10 million limited duty days.-Consequently, determining tools to screen for musculoskeletal injuries have been heighten,ed across all branches.-Knapik et al. 2001 reported that army fitness test run time, and push-ups were associated to musculoskeletal,-injury and loss-duty time. While insightful, in the past 20 years key technological advancements have been made-to model musculoske,letal injury risk with field-expedient tests. Prior investigations have utilized tools such as-the Functional Movement Screen (FMS), and Markered Motion Capture (MoCap). With the limitations of FMS and MoCap-(i.e., burden on time and subjective), markerless motion, capture and force plate technology has been developed-for field expedient measures. Recently, the 2021 National Defense Authorizati,on Act approved by Congress mandated-that military services perform a proof of capability of force plate technology with machine lea,rning to-understand their utilization in determining musculoskeletal injury risk. Since humans are dynamic systems and-follow a non-,linear path, recognizing injuries at a single time point proves difficulty. Thus, more frequent-screening measures taken through the, course of training, may have greater granularity in predicting-musculoskeletal injury risk factors. With the addition of continuous, monitoring, such as heart rate and GPS,-these tools can quantity the load exposure (i.e., training load) in between serial screenin,g measures (i.e.,-questionnaires, force plate testing). Thus, our aim to assess musculoskeletal injuries and physical readiness-thro,ugh screening, continuous monitoring, and serial measure relationships among 1) men and women Marine Officer-candidates at Officer C,andidates School (OCS) and 2) Marine cadre and students at The Mountain Warfare Training-Center (MWTC). This aim will further develo,p machine learning models in two distinctly different training-environments, OCS an entry level Marine pipeline training, and MWTC a,n advanced technical school in high-altitude, cold weather climate.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 08, 2022
Source ID
N000142212769

Entities

People

  • Bradley C. Nindl

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Pittsburgh

Tags

Readers

  • Exercise and Sports Science.
  • Military Training and Readiness Simulation
  • Naval Personnel Management

Technology Areas

  • AI & ML
  • Space