Evidence map›Paper›PMID 36991886›Full record

SynthesisSensors (Basel, Switzerland)2023

Technological Solutions for Human Movement Analysis in Obese Subjects: A Systematic Review.

Riccardo Monfrini, Gianluca Rossetto, Emilia Scalona, Manuela Galli, Veronica Cimolin, Nicola Francesco Lopomo

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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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

6 authors at 3 institutions in 1 country.

Riccardo MonfriniDipartimento di Ingegneria dell'Informazione, Università degli Studi di Brescia, 25123 Brescia, BS, Italy.ORCID 0009-0002-5245-500X
Gianluca RossettoDipartimento di Ingegneria dell'Informazione, Università degli Studi di Brescia, 25123 Brescia, BS, Italy.ORCID 0000-0001-6996-9635
Emilia ScalonaDipartimento di Specialità Medico-Chururgiche, Scienze Radiologiche e Sanità Pubblica, Università degli Studi di Brescia, 25123 Brescia, BS, Italy.ORCID 0000-0002-3430-6759
Manuela GalliDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, MI, Italy.ORCID 0000-0003-2772-4837
Veronica CimolinDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, MI, Italy.ORCID 0000-0001-6299-7254
Nicola Francesco LopomoDipartimento di Ingegneria dell'Informazione, Università degli Studi di Brescia, 25123 Brescia, BS, Italy.ORCID 0000-0002-5795-2606
University of Brescia · ITIRCCS Istituto Auxologico Italiano · ITPolitecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity has a critical impact on musculoskeletal systems, and excessive weight directly affects the ability of subjects to realize movements. It is important to monitor the activities of obese subjects, their functional limitations, and the overall risks related to specific motor tasks. From this perspective, this systematic review identified and summarized the main technologies specifically used to acquire and quantify movements in scientific studies involving obese subjects. The search for articles was carried out on electronic databases, i.e., PubMed, Scopus, and Web of Science. We included observational studies performed on adult obese subjects whenever reporting quantitative information concerning their movement. The articles must have been written in English, published after 2010, and concerned subjects who were primarily diagnosed with obesity, thus excluding confounding diseases. Marker-based optoelectronic stereophotogrammetric systems resulted to be the most adopted solution for movement analysis focused on obesity; indeed, wearable technologies based on magneto-inertial measurement units (MIMUs) were recently adopted for analyzing obese subjects. Further, these systems are usually integrated with force platforms, so as to have information about the ground reaction forces. However, few studies specifically reported the reliability and limitations of these approaches due to soft tissue artifacts and crosstalk, which turned out to be the most relevant problems to deal with in this context. In this perspective, in spite of their inherent limitations, medical imaging techniques-such as Magnetic Resonance Imaging (MRI) and biplane radiography-should be used to improve the accuracy of biomechanical evaluations in obese people, and to systematically validate less-invasive approaches.

Indexed as

ObesityWearable Electronic DevicesAdultHumansMagnetic Resonance ImagingMovementReproducibility of Resultsfunctional assessmenthuman movement analysismarker-based optoelectronic stereophotogrammetric systemMIMUobesitysoft-tissue artifactswearable

Identifiers

PMID36991886
PMCPMC10059733
OpenAlexW4327731783

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.