Evidence map›Paper›PMID 38475210›Full record

ArticleSensors (Basel, Switzerland)2024

IMUs Can Estimate Hip and Knee Range of Motion during Walking Tasks but Are Not Sensitive to Changes in Load or Grade.

AuraLea Fain, Ayden McCarthy, Bradley C Nindl, Joel T Fuller, Jodie A Wills, Tim L A Doyle

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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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.

AuraLea FainBiomechanics, Physical Performance and Exercise Research Group, Department of Health, Medicine and Human Sciences, Macquarie University's Biomechanics, Sydney, NSW 2113, Australia.
Ayden McCarthyBiomechanics, Physical Performance and Exercise Research Group, Department of Health, Medicine and Human Sciences, Macquarie University's Biomechanics, Sydney, NSW 2113, Australia.
Bradley C NindlNeuromuscular Research Laboratory/Warrior Performance Center, Department of Sports Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Joel T FullerBiomechanics, Physical Performance and Exercise Research Group, Department of Health, Medicine and Human Sciences, Macquarie University's Biomechanics, Sydney, NSW 2113, Australia.
Jodie A WillsBiomechanics, Physical Performance and Exercise Research Group, Department of Health, Medicine and Human Sciences, Macquarie University's Biomechanics, Sydney, NSW 2113, Australia.
Tim L A DoyleBiomechanics, Physical Performance and Exercise Research Group, Department of Health, Medicine and Human Sciences, Macquarie University's Biomechanics, Sydney, NSW 2113, Australia.

Funding

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

Abstract

The ability to estimate lower-extremity mechanics in real-world scenarios may untether biomechanics research from a laboratory environment. This is particularly important for military populations where outdoor ruck marches over variable terrain and the addition of external load are cited as leading causes of musculoskeletal injury As such, this study aimed to examine (1) the validity of a minimal IMU sensor system for quantifying lower-extremity kinematics during treadmill walking and running compared with optical motion capture (OMC) and (2) the sensitivity of this IMU system to kinematic changes induced by load, grade, or a combination of the two. The IMU system was able to estimate hip and knee range of motion (ROM) with moderate accuracy during walking but not running. However, SPM analyses revealed IMU and OMC kinematic waveforms were significantly different at most gait phases. The IMU system was capable of detecting kinematic differences in knee kinematic waveforms that occur with added load but was not sensitive to changes in grade that influence lower-extremity kinematics when measured with OMC. While IMUs may be able to identify hip and knee ROM during gait, they are not suitable for replicating lab-level kinematic waveforms.

Indexed as

Knee JointWalkingBiomechanical PhenomenaGaitHumansRange of Motion, Articularalgorithm developmentinertial measurement unitskinematicswearable sensors

Identifiers

PMID38475210
PMCPMC10934173

What OpenQuestion holds

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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.