Evidence map›Paper›PMID 34640930›Full record

ArticleSensors (Basel, Switzerland)2021

Validation and Assessment of a Posture Measurement System with Magneto-Inertial Measurement Units.

Davide Paloschi, Marco Bravi, Emiliano Schena, Sandra Miccinilli, Michelangelo Morrone, Silvia Sterzi, Paola Saccomandi, Carlo Massaroni

Registry-linked trialAbstract 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. It is linked to trial NCT05370534 (Smartphone-Based Markerless Motion Capture for Orthopaedic Clinical Use), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT05370534 withdrawnnot on this mapstarted 2023, after this paper: background citation

Smartphone-Based Markerless Motion Capture for Orthopaedic Clinical Use

TypeobservationalSponsorUniversity of ArkansasRan2023 to 2023Enrolled0ConditionsMusculoskeletal Diseases or Conditions
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

8 authors.

Davide PaloschiDepartment of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.ORCID 0000-0002-2530-0021
Marco BraviPhysical Medicine and Rehabilitative Unit, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-3396-4100
Emiliano SchenaDepartment of Engineering, Università Campus Bio-Medico di Roma, 00128 Roma, Italy.ORCID 0000-0002-9696-1265
Sandra MiccinilliPhysical Medicine and Rehabilitative Unit, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Michelangelo MorronePhysical Medicine and Rehabilitative Unit, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Silvia SterziPhysical Medicine and Rehabilitative Unit, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Paola SaccomandiDepartment of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.ORCID 0000-0003-4236-8033
Carlo MassaroniDepartment of Engineering, Università Campus Bio-Medico di Roma, 00128 Roma, Italy.ORCID 0000-0002-3090-5623

Funding

Fondazione Cariplo 2017-2075Università Campus Bio-Medico di Roma in the framework of University Strategic Projects HOPE
6 · The paper itself

Abstract

Inappropriate posture and the presence of spinal disorders require specific monitoring systems. In clinical settings, posture evaluation is commonly performed with visual observation, electrogoniometers or motion capture systems (MoCaps). Developing a measurement system that can be easily used also in non-structured environments would be highly beneficial for accurate posture monitoring. This work proposes a system based on three magneto-inertial measurement units (MIMU), placed on the backs of seventeen volunteers on the T3, T12 and S1 vertebrae. The reference system used for validation is a stereophotogrammetric motion capture system. The volunteers performed forward bending and sit-to-stand tests. The measured variables for identifying the posture were the kyphosis and the lordosis angles, as well as the range of movement (ROM) of the body segments. The comparison between MIMU and MoCap provided a maximum RMSE of 5.6° for the kyphosis and the lordosis angles. The average lumbo-pelvic contribution during forward bending (41.8 ± 8.6%) and the average lumbar ROM during sit-to-stand (31.8 ± 9.8° for sitting down, 29.6 ± 7.6° for standing up) obtained with the MIMU system agree with the literature. In conclusion, the MIMU system, which is wearable, inexpensive and easy to set up in non-structured environments, has been demonstrated to be effective in posture evaluation.

Indexed as

MovementPostureBiomechanical PhenomenaHumansPelvisSitting Positioninertial sensorskyphosislordosismotion capture systemposture monitoringrange of movementwearable systems

Identifiers

PMID34640930
PMCPMC8513009

What OpenQuestion holds

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Registered trials

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.