Evidence map›Paper›PMID 40493557›Full record

ArticleMilitary medicine2025

VALD HumanTrak Measures Valid Hip and Knee Joint Angles With and Without Body Armor.

Ayden McCarthy, Jodie A Wills, AuraLea C Fain, Brad C Nindl, Aaron J Beach, Tim L A Doyle

Abstract read
In one paragraph

Article in Military medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ayden McCarthyPerformance and Expertise Research Centre, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-8927-7484
Jodie A WillsPerformance and Expertise Research Centre, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-5397-4288
AuraLea C FainPerformance and Expertise Research Centre, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-9023-8095
Brad C NindlDepartment of Sports Medicine and Nutrition, School of Health and Rehabilitation Sciences, Neuromuscular Research Laboratory/Warrior Human Performance Research Laboratory, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0001-7088-5930
Aaron J BeachFaculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0001-9514-2746
Tim L A DoylePerformance and Expertise Research Centre, Macquarie University, Sydney, NSW 2109, Australia.ORCID 0000-0002-1227-6835

Funding

Macquarie University Research 20224931Office of Naval Research N62909-21-1-2015
6 · The paper itself

Abstract

introductionAssessing kinematic information within military populations can assist in optimizing physical performance and identifying inefficient movement patterns patterns as part of a regular health screening. The HumanTrak is a portable markerless motion capture system capable of quantifying lower body kinematics within field-based settings. The literature to support HumanTrak validity is novel and has not been assessed in a military context. Valid data under specific military conditions are required to support the use of the HumanTrak device within a military setting in order to validate the findings in this unique population. MATERIAL AND

methodsThe validity of the HumanTrak was examined in 17 individuals who completed lower body frontal and sagittal plane tasks at the hip and knee (Protocol Number: 52022787737978). Tasks were performed with and without body armor being worn. All tasks were assessed for peak angles and range of motion outputs from 3 repetitions in a laboratory. HumanTrak outputs were compared to a gold-standard methodology (marker-based motion capture). Standard error of measurement, intraclass correlations, Bland-Altman Plots, and Pearson Correlations of each system's lower body kinematic outputs were calculated.

resultsThe results generally showed good validity between the systems' outputs for most movement tasks. Overall, low absolute measures of error for all tasks were observed, indicating that the HumanTrak can accurately measure lower body kinematics with minimal error. Besides hip flexion, minimal validity differences were seen between the body armor and no body armor conditions.

conclusionThe HumanTrak's validity results suggest it provides a valid and accurate representation of lower body kinematics, making it useful for military and sports science applications. Practitioners can confidently use the HumanTrak to quantify lower body kinematics without requiring a sterile laboratory environment, like a gymnasium setting.

Indexed as

Hip JointKnee JointAdultBiomechanical PhenomenaFemaleHumansMaleMilitary PersonnelRange of Motion, ArticularReproducibility of Results

Identifiers

PMID40493557
PMCPMC12588703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.