IMU-Based Wearable Insoles in Clinical Settings: Key Parameters Differentiating Clinical and Non-Clinical Populations.

Sheng Lin, Kerrie Evans, Dean Hartley, Scott Morrison, Stuart McDonald, Martin Veidt, Gui Wang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sheng LinSchool of Mechanical and Mining Engineering, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID 0009-0008-5491-0452

Kerrie EvansSchool of Mechanical and Mining Engineering, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID 0000-0002-7592-7850

Dean HartleySchool of Mechanical and Mining Engineering, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID 0009-0008-2405-2127

Scott MorrisonSchool of Mechanical and Mining Engineering, The University of Queensland, St Lucia, QLD 4072, Australia.

Stuart McDonaldSchool of Mechanical and Mining Engineering, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID 0000-0001-7039-8921

Martin VeidtSchool of Mechanical and Mining Engineering, The University of Queensland, St Lucia, QLD 4072, Australia.ORCID 0000-0002-7302-9838

Gui WangSchool of Mechanical and Mining Engineering, The University of Queensland, St Lucia, QLD 4072, Australia.

Funding

Cooperative Research Centres Projects CRCPXI000116

6 · The paper itself

Abstract

Wearable systems based on inertial measurement units (IMUs) have attracted considerable interest in recent years in the field of gait analysis. However, most gait studies using such devices have been conducted in laboratory rather than clinical settings. This study evaluated a commercially available IMU-based insole system in two cohorts: a clinical group (59 ± 18, years) recruited from podiatry clinics and a non-clinical group (28 ± 7, years) recruited from a university with no reported complaints. Participants wore the IMU-based device and performed treadmill walking (clinical group) and overground walking (non-clinical group). Spatiotemporal parameters were compared between groups using statistical analyses included the Shapiro-Wilk test, Mann-Whitney test, and Welch's

Indexed as

Foot OrthosesGait AnalysisWearable Electronic DevicesAdultAgedBiomechanical PhenomenaFemaleGaitHumansMaleMiddle AgedWalkingfoot biomechanicsgait analysisinertial measurement unitwearable insole device

Identifiers

PMID41901972

DOI10.3390/s26061802

PMCPMC13029998

What OpenQuestion holds

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LicenceCC BY

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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.