ArticlePloS one2019
Body-worn IMU array reveals effects of load on performance in an outdoor obstacle course.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- Obstacle Course Races Present a Risk of Musculoskeletal, Knee, and Anterior Cruciate Ligament Injury, Especially in High-Impact Landing Maneuvers and Female Athletes: A Systematic Review.Arthroscopy, sports medicine, and rehabilitation · 2024Review
- Body-Worn IMU-Based Human Hip and Knee Kinematics Estimation during Treadmill Walking.Sensors (Basel, Switzerland) · 2022Article
- The Added Value of Musculoskeletal Simulation for the Study of Physical Performance in Military Tasks.Sensors (Basel, Switzerland) · 2021Article
- Sacral acceleration can predict whole-body kinetics and stride kinematics across running speeds.PeerJ · 2021Article
- Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model.PloS one · 2021Article
- Body-Worn IMU Human Skeletal Pose Estimation Using a Factor Graph-Based Optimization Framework.Sensors (Basel, Switzerland) · 2020Article
- Tracking Quantitative Characteristics of Cutting Maneuvers with Wearable Movement Sensors during Competitive Women's Ultimate Frisbee Games.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study introduces a new method to understand how added load affects human performance across a broad range of athletic tasks (ten obstacles) embedded in an outdoor obstacle course. The method employs an array of wearable inertial measurement units (IMUs) to wirelessly record the movements of major body segments to derive obstacle-specific metrics of performance. The effects of load are demonstrated on (N = 22) participants who each complete the obstacle course under four conditions including unloaded (twice) and with loads of 15% and 30% of their body weight (a total of 88 trials across the group of participants). The IMU-derived performance metrics reveal marked degradations in performance with increasing load across eight of the ten obstacles. Overall, this study demonstrates the significant potential in using this wearable technology to evaluate human performance across multiple tasks and, simultaneously, the adverse effects of body-borne loads on performance. The study addresses a major need of military organizations worldwide that frequently employ standardized obstacle courses to understand how added loads influence warfighter performance. Importantly, the findings and conclusions drawn from IMU data would not be possible using traditional timing metrics used to evaluate task performance.
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Registered trials
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.