Evidence map›Paper›PMID 38067972›Full record

ArticleSensors (Basel, Switzerland)2023

Validity of Inertial Measurement Units to Measure Lower-Limb Kinematics and Pelvic Orientation at Submaximal and Maximal Effort Running Speeds.

Yi-Chung Lin, Kara Price, Declan S Carmichael, Nirav Maniar, Jack T Hickey, Ryan G Timmins, Bryan C Heiderscheit, Silvia S Blemker, David A Opar

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

9 authors.

Yi-Chung LinSchool of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.ORCID 0000-0002-0352-2694
Kara PriceSchool of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
Declan S CarmichaelSchool of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
Nirav ManiarSchool of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
Jack T HickeySchool of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
Ryan G TimminsSchool of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.
Bryan C HeiderscheitDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0003-4956-1776
Silvia S BlemkerDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
David A OparSchool of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC 3065, Australia.

Funding

NFL Foundation MSN249213
6 · The paper itself

Abstract

Inertial measurement units (IMUs) have been validated for measuring sagittal plane lower-limb kinematics during moderate-speed running, but their accuracy at maximal speeds remains less understood. This study aimed to assess IMU measurement accuracy during high-speed running and maximal effort sprinting on a curved non-motorized treadmill using discrete (Bland-Altman analysis) and continuous (root mean square error [RMSE], normalised RMSE, Pearson correlation, and statistical parametric mapping analysis [SPM]) metrics. The hip, knee, and ankle flexions and the pelvic orientation (tilt, obliquity, and rotation) were captured concurrently from both IMU and optical motion capture systems, as 20 participants ran steadily at 70%, 80%, 90%, and 100% of their maximal effort sprinting speed (5.36 ± 0.55, 6.02 ± 0.60, 6.66 ± 0.71, and 7.09 ± 0.73 m/s, respectively). Bland-Altman analysis indicated a systematic bias within ±1° for the peak pelvic tilt, rotation, and lower-limb kinematics and -3.3° to -4.1° for the pelvic obliquity. The SPM analysis demonstrated a good agreement in the hip and knee flexion angles for most phases of the stride cycle, albeit with significant differences noted around the ipsilateral toe-off. The RMSE ranged from 4.3° (pelvic obliquity at 70% speed) to 7.8° (hip flexion at 100% speed). Correlation coefficients ranged from 0.44 (pelvic tilt at 90%) to 0.99 (hip and knee flexions at all speeds). Running speed minimally but significantly affected the RMSE for the hip and ankle flexions. The present IMU system is effective for measuring lower-limb kinematics during sprinting, but the pelvic orientation estimation was less accurate.

Indexed as

Lower ExtremityRunningBiomechanical PhenomenaGaitHumansKneeKnee Jointbiomechanical modelBland–Altman analysisgait analysisIMUinertial sensorsoptical motion captureroot mean square errorrunning mechanicsstatistical parametric mapping

Identifiers

PMID38067972
PMCPMC10708829

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Registered trials

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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.