Evidence map›Paper›PMID 41668773›Full record

ArticleIEEE journal of translational engineering in health and medicine2026

RECORD: A Simple, Low-Cost, and Open-Source IMU-Based Tool for the Diagnosis of Body Schema Distortions.

Luc Marechal, Christian Elmo Kulanesan, Louise Dupraz, Morgane Metral, Jessica Bourgin, Blaise Girard

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 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

6 authors.

Luc MarechalSYMME, Université Savoie Mont Blanc Annecy 74940 France.ORCID 0000-0001-6391-9610
Christian Elmo KulanesanSYMME, Université Savoie Mont Blanc Annecy 74940 France.ORCID 0000-0002-3875-1980
Louise DuprazUniversité Grenoble Alpes, Université Savoie Mont Blanc, LIP/PC2S Grenoble 38000 France.ORCID 0000-0002-0611-2690
Morgane MetralUniversité Grenoble Alpes, Université Savoie Mont Blanc, LIP/PC2S Grenoble 38000 France.
Jessica BourginUniversité Grenoble Alpes, Université Savoie Mont Blanc, LIP/PC2S Grenoble 38000 France.
Blaise GirardSYMME, Université Savoie Mont Blanc Annecy 74940 France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the psychology community, there is currently no standardized framework for assessing body schema distortions, either in research or clinical practice. To address this gap, we propose RECORD (RECOnfiguRing the Assessment of the boDy in motion), a cost-effective clinical tool designed to assess shoulder rotation as patient walks towards doorways. METHODS AND PROCEDURES: RECORD utilizes a single wireless pod, featuring an inertial measurement unit (IMU), placed on the acromion, which is adequate for measuring shoulder rotation. Our approach uses quaternion-based algorithm for robustness. We provide a comparison with gold-standard motion capture system, along with performance metrics and benchmark testing.

resultsThe system has demonstrated a constant accuracy of 1.39° within the task range, regardless of the distance or movement performed by the subject.

conclusionThe device is adapted for assessing shoulder rotation in clinical practice and in psychological research contexts. The source files of the RECORD device hardware, algorithms and software codes are available on the open-source GitHub RECORD repository to enable accessibility, as well as future contributions to benefit the community.

Indexed as

Body Dysmorphic DisordersAlgorithmsHumansMotion CaptureShoulderBody schema distortionsdiagnosisIMUopen sourceshoulder rotation

Identifiers

PMID41668773
PMCPMC12885494

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.