Evidence map›Paper›PMID 34450895›Full record

ArticleSensors (Basel, Switzerland)2021

Wearable Detection of Trunk Flexions: Capacitive Elastomeric Sensors Compared to Inertial Sensors.

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

Abstract 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 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

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
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.

Gabriele FredianiDepartment of Industrial Engineering, University of Florence, 50121 Florence, Italy.
Leonardo BocchiDepartment of Information Engineering, University of Florence, 50121 Florence, Italy.ORCID 0000-0001-5109-3399
Federica VannettiIRCCS Fondazione don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0000-0001-9403-7944
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

Funding

Fondazione Cassa di Risparmio di Firenze "MOVE-SENSE" (2018.0979, 2020-2021)Tuscany Region "Wellness@Work" (Bando n.2 RS2017, POR FESR 2014-2020 Regione Toscana, D.D. n.7165 del 24/5/2017)
6 · The paper itself

Abstract

Continuous monitoring of flexions of the trunk via wearable sensors could help various types of workers to reduce risks associated with incorrect postures and movements. Stretchable piezo-capacitive elastomeric sensors based on dielectric elastomers have recently been described as a wearable, lightweight and cost-effective technology to monitor human kinematics. Their stretching causes an increase of capacitance, which can be related to angular movements. Here, we describe a wearable wireless system to detect flexions of the trunk, based on such sensors. In particular, we present: (i) a comparison of different calibration strategies for the capacitive sensors, using either an accelerometer or a gyroscope as an inclinometer; (ii) a comparison of the capacitive sensors' performance with those of the accelerometer and gyroscope; to that aim, the three types of sensors were evaluated relative to stereophotogrammetry. Compared to the gyroscope, the capacitive sensors showed a higher accuracy. Compared to the accelerometer, their performance was lower when used as quasi-static inclinometers but also higher in case of highly dynamic accelerations. This makes the capacitive sensors attractive as a complementary, rather than alternative, technology to inertial sensors.

Indexed as

Wearable Electronic DevicesBiomechanical PhenomenaHumansMonitoring, PhysiologicMovementRange of Motion, Articularcapacitiveelastomerflexionsensorwearablewireless

Identifiers

PMID34450895
PMCPMC8398997

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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.