Evidence map›Paper›PMID 41901917›Full record

ArticleSensors (Basel, Switzerland)2026

Validity, Reliability and Interpretability of an IMU-Based System to Measure 3D Lower Limb Kinematics of Patients with Heterogeneous Gait Disorders.

Lena Carcreff, Gabriel Payen, Gautier Grouvel, Mickael Cardoso-Fonseca, Fabien Massé, Stéphane Armand

Abstract read
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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.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lena CarcreffKinesiology Laboratory, Geneva University Hospitals and Geneva University, 1205 Geneva, Switzerland.ORCID 0000-0003-0086-4944
Gabriel PayenMindMaze, 1006 Lausanne, Switzerland.
Gautier GrouvelKinesiology Laboratory, Geneva University Hospitals and Geneva University, 1205 Geneva, Switzerland.ORCID 0000-0002-2797-7677
Mickael Cardoso-FonsecaKinesiology Laboratory, Geneva University Hospitals and Geneva University, 1205 Geneva, Switzerland.
Fabien MasséMindMaze, 1006 Lausanne, Switzerland.
Stéphane ArmandKinesiology Laboratory, Geneva University Hospitals and Geneva University, 1205 Geneva, Switzerland.ORCID 0000-0001-9144-4982

Funding

Innosuisse - Swiss Innovation Agency 38215.1 IP-LS
6 · The paper itself

Abstract

Inertial measurement units (IMUs) represent a promising alternative to optoelectronic systems for estimating gait kinematics in less resource-intensive laboratories. However, evidence regarding the clinical interpretability of IMU-based gait analysis in pathological populations remains limited. This study aimed to evaluate the concurrent validity, reliability, and interpretability of an IMU-based method for computing 3D lower limb kinematics in asymptomatic and pathological populations. Fifty-five participants, including asymptomatic individuals (AS, n = 15), patients with cerebral palsy (CP, n = 15), and individuals with various motor disorders (OMD, n = 25), were assessed using a 7-IMU system and an optoelectronic system. Validity was quantified using root mean square error (RMSE), centered RMSE, and Pearson correlation coefficients (CCs) across 11 commonly reported lower limb kinematic outcomes. Reliability was assessed using intraclass correlation coefficients (ICCs), and interpretability was examined by comparing Gait Profile Scores (GPS) derived from both systems. Mean RMSE values were 7.1° (AS), 9.8° (CP), and 9.3° (OMD), with centered RMSE values below 3.2°. The correlation between IMU- and optoelectronic-based kinematics was good to excellent (mean CC = 0.76). Reliability ranged from moderate to excellent, and GPS showed moderate agreement between systems (CC = 0.42). These findings support the clinical validity, reliability, and interpretability of IMU-based gait kinematics across heterogeneous gait disorders.

Indexed as

GaitGait AnalysisGait Disorders, NeurologicLower ExtremityAdolescentAdultBiomechanical PhenomenaCerebral PalsyFemaleHumansMaleMiddle AgedReproducibility of ResultsYoung Adultclinical gait analysisconcurrent validityinertial measurement unitsinterpretabilitylower limb kinematicsreliability

Identifiers

PMID41901917
PMCPMC13030621

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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.