Evidence map›Paper›PMID 33918411›Full record

ArticleInternational journal of environmental research and public health2021

A Wearable Sensor-Based Platform for Surgeon Posture Monitoring: A Tool to Prevent Musculoskeletal Disorders.

Nicola Carbonaro, Gabriele Mascherini, Ilenia Bartolini, Maria Novella Ringressi, Antonio Taddei, Alessandro Tognetti, Nicola Vanello

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 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

7 authors at 2 institutions in 1 country.

Nicola CarbonaroDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0001-6753-2333
Gabriele MascheriniDepartment of Experimental and Clinical Medicine, University of the Study of Florence, 50121 Florence, Italy.ORCID 0000-0002-8842-0354
Ilenia BartoliniDepartment of Experimental and Clinical Medicine, University of the Study of Florence, 50121 Florence, Italy.
Maria Novella RingressiDepartment of Experimental and Clinical Medicine, University of the Study of Florence, 50121 Florence, Italy.
Antonio TaddeiDepartment of Experimental and Clinical Medicine, University of the Study of Florence, 50121 Florence, Italy.ORCID 0000-0003-2963-4085
Alessandro TognettiDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0001-9848-4071
Nicola VanelloDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0002-2312-6699
University of Florence · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgeons are workers that are particularly prone to the development of musculoskeletal disorders. Recent advances in surgical interventions, such as laparoscopic procedures, have caused a worsening of the scenario, given the harmful static postures that have to be kept for long periods. In this paper, we present a sensor-based platform specifically aimed at monitoring the posture during actual surgical operations. The proposed system adopts a limited number of Inertial Measurement Units (IMUs) to obtain information about spine and neck angles across time. Such a system merges the reliability of sensor-based approaches and the validity of state-of-the-art scoring procedure, such as RULA. Specifically, three IMUs are used to estimate the flexion, lateral bending, and twisting angles of spine and neck. An ergonomic risk index is thus estimated in a time varying fashion borrowing relevant features from the RULA scoring system. The detailed functioning of the proposed systems is introduced, and the assessment results related to a real surgical procedure, consisting of a laparoscopy and mini-laparotomy sections, are shown and discussed. In the exemplary case study introduced, the surgeon kept a high score, indicating the need for an intervention on the working procedures, for a large time fraction. The system allows separately analyzing the contribution of spine and neck, also specifying the angle configuration. It is shown how the proposed approach can provide further information, as related to dynamical analysis, which could be used to enlarge the features taken into account by currently available approaches for ergonomic risk assessment. The proposed system could be adopted both for training purposes, as well as for alerting surgeons during actual surgical operations.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesSurgeonsWearable Electronic DevicesErgonomicsHumansPostureReproducibility of Resultsergonomic riskIMUmusculoskeletal diseaseRULA approachspine posturesurgeon posturewearable sensor

Identifiers

PMID33918411
PMCPMC8038272
OpenAlexW3152266363

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.