Evidence map›Paper›PMID 40006497›Full record

ArticleSensors (Basel, Switzerland)2025

Toward Convenient and Accurate IMU-Based Gait Analysis.

Mohamed Boutaayamou, Doriane Pelzer, Cédric Schwartz, Sophie Gillain, Gaëtan Garraux, Jean-Louis Croisier, Jacques G Verly, Olivier Brüls

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Mohamed BoutaayamouLaboratory of Movement Analysis, University of Liège, B-4000 Liège, Belgium.ORCID 0000-0001-9564-528X
Doriane PelzerPhysical Medicine and Sport Traumatology Department, University Hospital of Liège, B-4000 Liège, Belgium.
Cédric SchwartzLaboratory of Movement Analysis, University of Liège, B-4000 Liège, Belgium.ORCID 0000-0002-7307-7821
Sophie GillainGeriatrics Department, University Hospital of Liège, B-4000 Liège, Belgium.
Gaëtan GarrauxNeurology Department, University Hospital of Liège, B-4000 Liège, Belgium.
Jean-Louis CroisierLaboratory of Movement Analysis, University of Liège, B-4000 Liège, Belgium.
Jacques G VerlyDepartment of Electrical Engineering and Computer Science, University of Liège, B-4000 Liège, Belgium.
Olivier BrülsLaboratory of Movement Analysis, University of Liège, B-4000 Liège, Belgium.ORCID 0000-0003-2668-1353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While inertial measurement unit (IMU)-based systems have shown their potential in quantifying medically significant gait parameters, it remains to be determined whether they can provide accurate and reliable parameters both across various walking conditions and in healthcare settings. Using an IMU-based system we previously developed, with one IMU module on each subject's heel, we quantify the gait parameters of 55 men and 46 women, all healthy and aged 40-65, in normal, dual-task, and fast walking conditions. We evaluate their intra-session reliability, and we establish a new reference database of such parameters showing good to excellent reliability. ICC(2,1) assesses relative reliability, while SEM% and MDC% assess absolute reliability. The reliability is excellent for all spatiotemporal gait parameters and the stride length (SL) symmetry ratio (ICC ≥ 0.90, SEM% ≤ 4.5%, MDC% ≤ 12.4%) across all conditions. It is good to excellent for the fast walking performance (FWP) indices of stride (Sr), stance (Sa), double-support (DS), and step (St) times; gait speed (GS); and the GS normalized to leg length (GS

Indexed as

GaitGait AnalysisAdultAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedReproducibility of ResultsWalkingaccelerometersgait analysisgyroscopesinertial sensorsreference datasignal-processing algorithmsspatiotemporal parameters

Identifiers

PMID40006497
PMCPMC11860383

What OpenQuestion holds

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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.