Evidence map›Paper›PMID 32393301›Full record

SynthesisJournal of neuroengineering and rehabilitation2020

Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis.

Dylan Kobsar, Jesse M Charlton, Calvin T F Tse, Jean-Francois Esculier, Angelo Graffos, Natasha M Krowchuk, Daniel Thatcher, Michael A Hunt

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic ReviewValidation Study
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07495371 (Effects Of Passive Static Stretching On Hip Range Of Motion In Patients With Joint Pathologies And Healthy Individuals), which is not on this map. Cited by 154 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 13 pooled it
55.0field-weighted citation impact, top 1% of its field
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.

NCT07495371 completednot on this mapstarted 2025, after this paper: background citation

Effects Of Passive Static Stretching On Hip Range Of Motion In Patients With Joint Pathologies And Healthy Individuals: A Pilot Study

TypeobservationalSponsorOmicron beta researchRan2025 to 2025Enrolled12ConditionsHip Joint Disorders, Recovery After Total Hip Arthroplasty, Healthy Individuals
3 · Its place in the literature

Who cites it

154 citing papers in PubMed, 13 syntheses or guidelines pooled it, 280 citations in OpenAlex.

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  3. Gait analysis methods in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2026
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  5. Associations Between the Built Environment and Adult Obesity and the Mediating Role of Physical Activity: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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94 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Dylan KobsarDepartment of Kinesiology, McMaster University, Hamilton, ON, Canada.
Jesse M CharltonMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.
Calvin T F TseMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.
Jean-Francois EsculierMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.
Angelo GraffosMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.
Natasha M KrowchukMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.
Daniel ThatcherMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.
Michael A HuntMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada. michael.hunt@ubc.ca.
University of British Columbia · CARunning Injury Clinic · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundInertial measurement units (IMUs) offer the ability to measure walking gait through a variety of biomechanical outcomes (e.g., spatiotemporal, kinematics, other). Although many studies have assessed their validity and reliability, there remains no quantitive summary of this vast body of literature. Therefore, we aimed to conduct a systematic review and meta-analysis to determine the i) concurrent validity and ii) test-retest reliability of IMUs for measuring biomechanical gait outcomes during level walking in healthy adults.

methodsFive electronic databases were searched for journal articles assessing the validity or reliability of IMUs during healthy adult walking. Two reviewers screened titles, abstracts, and full texts for studies to be included, before two reviewers examined the methodological quality of all included studies. When sufficient data were present for a given biomechanical outcome, data were meta-analyzed on Pearson correlation coefficients (r) or intraclass correlation coefficients (ICC) for validity and reliability, respectively. Alternatively, qualitative summaries of outcomes were conducted on those that could not be meta-analyzed.

resultsA total of 82 articles, assessing the validity or reliability of over 100 outcomes, were included in this review. Seventeen biomechanical outcomes, primarily spatiotemporal parameters, were meta-analyzed. The validity and reliability of step and stride times were found to be excellent. Similarly, the validity and reliability of step and stride length, as well as swing and stance time, were found to be good to excellent. Alternatively, spatiotemporal parameter variability and symmetry displayed poor to moderate validity and reliability. IMUs were also found to display moderate reliability for the assessment of local dynamic stability during walking. The remaining biomechanical outcomes were qualitatively summarized to provide a variety of recommendations for future IMU research.

conclusionsThe findings of this review demonstrate the excellent validity and reliability of IMUs for mean spatiotemporal parameters during walking, but caution the use of spatiotemporal variability and symmetry metrics without strict protocol. Further, this work tentatively supports the use of IMUs for joint angle measurement and other biomechanical outcomes such as stability, regularity, and segmental accelerations. Unfortunately, the strength of these recommendations are limited based on the lack of high-quality studies for each outcome, with underpowered and/or unjustified sample sizes (sample size median 12; range: 2-95) being the primary limitation.

Indexed as

Wearable Electronic DevicesAdultBiomechanical PhenomenaFemaleHumansMaleReproducibility of ResultsWalkingBiomechanicsGaitInertial measurement unitsInertial sensorsReliabilityReviewValidity

Identifiers

PMID32393301
PMCPMC7216606
OpenAlexW3026399732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.