Evidence map›Paper›PMID 39193230›Full record

ArticleFrontiers in bioengineering and biotechnology2024

Validation of inertial measurement units based on waveform similarity assessment against a photogrammetry system for gait kinematic analysis.

Laura Blanco-Coloma, Lucía García-González, Isabel Sinovas-Alonso, Silvia Torio-Álvarez, Paula Martos-Hernández, Sara González-Expósito, Ángel Gil-Agudo, Diana Herrera-Valenzuela

Abstract read
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Article in Frontiers in bioengineering and biotechnology, 2024. 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

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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.

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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.

Laura Blanco-ColomaBiomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.
Lucía García-GonzálezBiomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.
Isabel Sinovas-AlonsoBiomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.
Silvia Torio-ÁlvarezBiomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.
Paula Martos-HernándezBiomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.
Sara González-ExpósitoBiorobotics Group, CAR-Centre of Automation and Robotics, CSIC-Spanish National Research Council, Madrid, Spain.
Ángel Gil-Agudo *Biomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.
Diana Herrera-Valenzuela *Biomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When assessing gait analysis outcomes for clinical use, it is indispensable to use an accurate system ensuring a minimal measurement error. Inertial Measurement Units (IMUs) are a versatile motion capture system to evaluate gait kinematics during out-of-lab activities and technology-assisted rehabilitation therapies. However, IMUs are susceptible to distortions, offset and drifting. Therefore, it is important to have a validated instrumentation and recording protocol to ensure the reliability of the measurements, to differentiate therapy effects from system-induced errors. A protocol was carried out to validate the accuracy of gait kinematic assessment with IMUs based on the similarity of the waveform of concurrent signals captured by this system and by a photogrammetry reference system. A gait database of 32 healthy subjects was registered synchronously with both devices. The validation process involved two steps: 1) a preliminary similarity assessment using the Pearson correlation coefficient, and 2) a similarity assessment in terms of correlation, displacement and gain by estimating the offset between signals, the difference between the registered range of motion (∆ROM), the root mean square error (RMSE) and the interprotocol coefficient of multiple correlation (CMC

Indexed as

feasibilityinertial measurement units (IMUs)interprotocol coefficient of multiple correlation (CMCP)photogrammetryrepeatabilitythree-dimensional (3D) kinematic gait datawaveform similarity assessment

Identifiers

PMID39193230
PMCPMC11348432

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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.