Evidence map›Paper›PMID 40871985›Full record

ArticleSensors (Basel, Switzerland)2025

REEV SENSE IMUs for Gait Analysis in Stroke: A Clinical Study on Lower Limb Kinematics.

Thibault Marsan, Sacha Clauzade, Xiang Zhang, Nicolas Grandin, Tatiana Urman, Evan Linton, Ingy Elsayed-Aly, Catherine E Ricciardi, Robin Temporelli

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. 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

9 authors.

Thibault MarsanREEV SAS, 31670 Labège, France.
Sacha ClauzadeREEV SAS, 31670 Labège, France.
Xiang ZhangCenter for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.ORCID 0000-0002-3130-8337
Nicolas GrandinREEV SAS, 31670 Labège, France.ORCID 0009-0002-9498-7792
Tatiana UrmanCenter for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Evan LintonCenter for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.ORCID 0000-0001-5627-1318
Ingy Elsayed-AlyREEV SAS, 31670 Labège, France.ORCID 0000-0003-0623-2323
Catherine E RicciardiCenter for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Robin TemporelliREEV SAS, 31670 Labège, France.

Funding

Tufts Clinical and Translational Science Institute (Clinical Trial Design Labs Supplement)UM1TR004398 · NCATS · TUFTS UNIVERSITY BOSTON · PI Harry P. Selker · 2023 to 2026
$44.5M
NCATS NIH HHS UM1 TR004398NCATS NIH HHS UM1TR004398
6 · The paper itself

Abstract

Human gait analysis is essential for clinical evaluation and rehabilitation monitoring, particularly in post-stroke individuals, where joint kinematics provide valuable insights into motor recovery. While optical motion capture (OMC) is the gold standard, its high cost and restricted use in laboratory settings limit its accessibility. This study aimed to evaluate the accuracy of REEV SENSE, a novel magnetometer-free inertial measurement unit (IMU), in capturing knee and ankle joint angles during overground walking in post-stroke individuals using assistive devices. Twenty participants with chronic stroke walked along a 10-m walkway with their usual assistive device (cane or walker), while joint kinematics were simultaneously recorded using OMC and IMUs. Agreement between the systems was assessed using the mean absolute error, root mean square error, 95% confidence intervals, and Pearson's correlation coefficient. Knee angles measured with the IMUs showed a strong correlation with the OMC (r > 0.9) and low errors (MAE < 5°), consistent with clinical acceptability. Ankle angle accuracy was lower for participants using walkers, while knee measurements remained stable regardless of the assistive device. These findings demonstrate that REEV SENSE IMUs provide clinically relevant kinematic data and support their use as a practical wearable tool for gait analysis in real-world or remote clinical settings.

Indexed as

GaitGait AnalysisLower ExtremityStrokeAdultAgedAnkle JointBiomechanical PhenomenaFemaleHumansKnee JointMaleMiddle AgedStroke RehabilitationWalkingWearable Electronic Devicesgait analysisinertial sensorskinematicsstrokesystem validation

Identifiers

PMID40871985
PMCPMC12390049

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.