Evidence map›Paper›PMID 37960420›Full record

ArticleSensors (Basel, Switzerland)2023

Acceleration-Based Estimation of Vertical Ground Reaction Forces during Running: A Comparison of Methods across Running Speeds, Surfaces, and Foot Strike Patterns.

Dovin Kiernan, Brandon Ng, David A Hawkins

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Aberrant Gait Biomechanics Linked to Cartilage Changes After ACL Reconstruction in Those With High Body Mass Index.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Article
  3. 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

3 authors.

Dovin KiernanBiomedical Engineering Graduate Group, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-4479-3909
Brandon NgDepartment of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA.
David A HawkinsBiomedical Engineering Graduate Group, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0001-5930-9844

Funding

American College of Sports Medicine 18-00671Maury L Hull Endowed Fellowship for Musculoskeletal Biomechanics Research n/aNatural Sciences and Engineering Research Council of Canada CGSD3-502358-2017Sigma Xi Scientific Research Honor Society G2018031595024439University of California Davis Library Open Access Fund n/aUniversity of California Davis Professors for the Future Fellowship n/a
6 · The paper itself

Abstract

Twenty-seven methods of estimating vertical ground reaction force first peak, loading rate, second peak, average, and/or time series from a single wearable accelerometer worn on the shank or approximate center of mass during running were compared. Force estimation errors were quantified for 74 participants across different running surfaces, speeds, and foot strike angles and biases, repeatability coefficients, and limits of agreement were modeled with linear mixed effects to quantify the accuracy, reliability, and precision. Several methods accurately and reliably estimated the first peak and loading rate, however, none could do so precisely (the limits of agreement exceeded ±65% of target values). Thus, we do not recommend first peak or loading rate estimation from accelerometers with the methods currently available. In contrast, the second peak, average, and time series could all be estimated accurately, reliably, and precisely with several different methods. Of these, we recommend the 'Pogson' methods due to their accuracy, reliability, and precision as well as their stability across surfaces, speeds, and foot strike angles.

Indexed as

GaitRunningAccelerationBiomechanical PhenomenaHumansReproducibility of Resultsin-field kineticsmachine learningover-ground gait biomechanicswearables inertial measurement units (IMUs)

Identifiers

PMID37960420
PMCPMC10648662

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.