Evidence map›Paper›PMID 41013090›Full record

ArticleSensors (Basel, Switzerland)2025

3D-Printed Wearable Sensors for the Identification of Shoulder Movement Planes.

Alfredo Dimo, Umile Giuseppe Longo, Pieter D'Hooghe, Alessandro de Sire, Rocco Papalia, Emiliano Schena, Daniela Lo Presti

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

7 authors.

Alfredo DimoDepartment Traumatology and Sports Medicine, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0009-0004-7246-0978
Umile Giuseppe LongoDepartment Traumatology and Sports Medicine, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Rome, Italy.ORCID 0000-0003-4063-9821
Pieter D'HoogheAspetar Orthopedic and Sports Medicine Hospital, Aspire Zone, Sportscity Street 1, Doha P.O. Box 29222, Qatar.
Alessandro de SireDepartment of Medical and Surgical Sciences, University of Catanzaro "Magna Graecia", 88100 Catanzaro, Italy.ORCID 0000-0002-5541-8346
Rocco PapaliaDepartment Traumatology and Sports Medicine, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Rome, Italy.
Emiliano SchenaFondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Rome, Italy.ORCID 0000-0002-9696-1265
Daniela Lo PrestiFondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Rome, Italy.ORCID 0000-0002-1507-231X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotator cuff injuries are a leading cause of shoulder disability, directly impacting joint mobility and overall quality of life. Effective recovery in these patients depends not only on surgical intervention, when necessary, but also on accurate and continuous monitoring of joint movements during rehabilitation, especially across multiple anatomical planes. Traditional tools, such as clinical assessments or motion capture systems, are often subjective or expensive and impractical for routine use. In this context, wearable devices are emerging as a viable alternative, offering the ability to collect real-time, non-invasive, and repeatable data, both in clinical and home settings. This study presents innovative wearable sensors, developed through 3D printing and integrated with fiber Bragg grating technology, designed to detect the shoulder's planes of motion (sagittal, scapular, and frontal) during flexion-extension movements. Two wearable sensors made of thermoplastic polyurethane (TPU 85A and 95A) were fabricated and subjected to metrological characterization, including strain and temperature sensitivity, hysteresis error, and tear resistance, and tested on eight healthy volunteers. The results demonstrated high discriminative ability, with sensitivity values up to 0.76 nm/mε and low hysteresis errors. The proposed system represents a promising, cost-effective, and customizable solution for motion monitoring during shoulder rehabilitation.

Indexed as

Printing, Three-DimensionalShoulderShoulder JointWearable Electronic DevicesAdultFemaleHumansMaleMonitoring, PhysiologicMovementRange of Motion, ArticularRotator Cuff Injuries3D printingadditive manufacturingfiber Bragg gratingmotion plane identificationrehabilitation monitoringshoulder kinematicswearable sensor

Identifiers

PMID41013090
PMCPMC12473567

What OpenQuestion holds

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LicenceCC BY
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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.