Evidence map›Paper›PMID 34695926›Full record

ArticleSensors (Basel, Switzerland)2021

Monitoring Flexions and Torsions of the Trunk via Gyroscope-Calibrated Capacitive Elastomeric Wearable Sensors.

Gabriele Frediani, Federica Vannetti, Leonardo Bocchi, Giovanni Zonfrillo, Federico Carpi

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Gabriele FredianiDepartment of Industrial Engineering, University of Florence, 50121 Florence, Italy.
Federica VannettiIRCCS Fondazione don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0000-0001-9403-7944
Leonardo BocchiDepartment of Information Engineering, University of Florence, 50121 Florence, Italy.ORCID 0000-0001-5109-3399
Giovanni ZonfrilloDepartment of Industrial Engineering, University of Florence, 50121 Florence, Italy.
Federico CarpiDepartment of Industrial Engineering, University of Florence, 50121 Florence, Italy.ORCID 0000-0001-8496-5085
University of Florence · ITDon Carlo Gnocchi Foundation · IT

Funding

Fondazione Cassa di Risparmio di Firenze MOVE-SENSE - 2018.0979, 2020-2021Italian Ministry of Health Current Research Fund 2018-2019Tuscany Region (Bando n.2 RS2017, POR FESR 2014-2020) Wellness@Work - D.D. n.7165 del 24/5/2017
6 · The paper itself

Abstract

Reliable, easy-to-use, and cost-effective wearable sensors are desirable for continuous measurements of flexions and torsions of the trunk, in order to assess risks and prevent injuries related to body movements in various contexts. Piezo-capacitive stretch sensors, made of dielectric elastomer membranes coated with compliant electrodes, have recently been described as a wearable, lightweight and low-cost technology to monitor body kinematics. An increase of their capacitance upon stretching can be used to sense angular movements. Here, we report on a wearable wireless system that, using two sensing stripes arranged on shoulder straps, can detect flexions and torsions of the trunk, following a simple and fast calibration with a conventional tri-axial gyroscope on board. The piezo-capacitive sensors avoid the errors that would be introduced by continuous sensing with a gyroscope, due to its typical drift. Relative to stereophotogrammetry (non-wearable standard system for motion capture), pure flexions and pure torsions could be detected by the piezo-capacitive sensors with a root mean square error of ~8° and ~12°, respectively, whilst for flexion and torsion components in compound movements, the error was ~13° and ~15°, respectively.

Indexed as

Wearable Electronic DevicesBiomechanical PhenomenaMovementRange of Motion, ArticularTorsocapacitiveelastomerflexionsensortorsionwearablewireless

Identifiers

PMID34695926
PMCPMC8539866
OpenAlexW3207685948

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.