Evidence map›Paper›PMID 33557140›Full record

ArticleSensors (Basel, Switzerland)2021

An Inertial Measurement Unit-Based Wireless System for Shoulder Motion Assessment in Patients with Cervical Spinal Cord Injury: A Validation Pilot Study in a Clinical Setting.

Riccardo Bravi, Stefano Caputo, Sara Jayousi, Alessio Martinelli, Lorenzo Biotti, Ilaria Nannini, Erez James Cohen, Eros Quarta, Stefano Grasso, Giacomo Lucchesi and 4 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 24 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Riccardo BraviDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy.
Stefano CaputoDepartment of Information Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy.ORCID 0000-0002-4516-8910
Sara JayousiDepartment of Information Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy.
Alessio MartinelliDepartment of Information Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy.ORCID 0000-0002-8509-5322
Lorenzo BiottiDepartment of Information Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy.ORCID 0000-0003-0628-5257
Ilaria NanniniSpinal Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139 Florence, Italy.
Erez James CohenDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy.
Eros QuartaDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy.
Stefano GrassoDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy.
Giacomo LucchesiSpinal Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139 Florence, Italy.
Gabriele RighiSpinal Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139 Florence, Italy.
Giulio Del PopoloSpinal Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139 Florence, Italy.
Lorenzo MucchiDepartment of Information Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy.ORCID 0000-0001-6389-0221
Diego MinciacchiDepartment of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy.ORCID 0000-0002-3842-7611
University of Florence · ITAzienda Ospedaliero-Universitaria Careggi · IT

Funding

Ente Cassa di Risparmio di Firenze ARTEMIS
6 · The paper itself

Abstract

Residual motion of upper limbs in individuals who experienced cervical spinal cord injury (CSCI) is vital to achieve functional independence. Several interventions were developed to restore shoulder range of motion (ROM) in CSCI patients. However, shoulder ROM assessment in clinical practice is commonly limited to use of a simple goniometer. Conventional goniometric measurements are operator-dependent and require significant time and effort. Therefore, innovative technology for supporting medical personnel in objectively and reliably measuring the efficacy of treatments for shoulder ROM in CSCI patients would be extremely desirable. This study evaluated the validity of a customized wireless wearable sensors (Inertial Measurement Units-IMUs) system for shoulder ROM assessment in CSCI patients in clinical setting. Eight CSCI patients and eight healthy controls performed four shoulder movements (forward flexion, abduction, and internal and external rotation) with dominant arm. Every movement was evaluated with a goniometer by different testers and with the IMU system at the same time. Validity was evaluated by comparing IMUs and goniometer measurements using Intraclass Correlation Coefficient (ICC) and Limits of Agreement (LOA). inter-tester reliability of IMUs and goniometer measurements was also investigated. Preliminary results provide essential information on the accuracy of the proposed wireless wearable sensors system in acquiring objective measurements of the shoulder movements in CSCI patients.

Indexed as

Cervical CordShoulderHumansPilot ProjectsRange of Motion, ArticularReproducibility of Resultsclinical settinggoniometerinertial measurement unitkinematicsmotion trackingrange of motionshoulderspinal cord injurytetraplegiawireless sensors network

Identifiers

PMID33557140
PMCPMC7913887
OpenAlexW3127350033

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.