Evidence map›Paper›PMID 34200358›Full record

ArticleSensors (Basel, Switzerland)2021

A Self-Contained 3D Biomechanical Analysis Lab for Complete Automatic Spine and Full Skeleton Assessment of Posture, Gait and Run.

Moreno D'Amico, Edyta Kinel, Gabriele D'Amico, Piero Roncoletta

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
  7. SANE (Easy Gait Analysis System): Towards an AI-Assisted Automatic Gait-Analysis.International journal of environmental research and public health · 2022
    Article
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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

4 authors at 3 institutions in 2 countries.

Moreno D'AmicoSMART Lab (Skeleton Movement Analysis and Advanced Rehabilitation Technologies)-Bioengineering & Biomedicine Company, 65126 Pescara, Italy.ORCID 0000-0002-6754-3603
Edyta KinelDepartment of Rehabilitation, University of Medical Sciences, 61-545 Poznan, Poland.ORCID 0000-0001-9106-8016
Gabriele D'AmicoSMART Lab (Skeleton Movement Analysis and Advanced Rehabilitation Technologies)-Bioengineering & Biomedicine Company, 65126 Pescara, Italy.
Piero RoncolettaSMART Lab (Skeleton Movement Analysis and Advanced Rehabilitation Technologies)-Bioengineering & Biomedicine Company, 65126 Pescara, Italy.
Cluster in Biomedicine · ITPoznan University of Medical Sciences · PLUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative functional assessment of Posture and Motion Analysis of the entire skeleton and spine is highly desirable. Nonetheless, in most studies focused on posture and movement biomechanics, the spine is only grossly depicted because of its required level of complexity. Approaches integrating pressure measurement devices with stereophotogrammetric systems have been presented in the literature, but spine biomechanics studies have rarely been linked to baropodometry. A new multi-sensor system called GOALS-E.G.G. (Global Opto-electronic Approach for Locomotion and Spine-Expert Gait Guru), integrating a fully genlock-synched baropodometric treadmill with a stereophotogrammetric device, is introduced to overcome the above-described limitations. The GOALS-EGG extends the features of a complete 3D parametric biomechanical skeleton model, developed in an original way for static 3D posture analysis, to kinematic and kinetic analysis of movement, gait and run. By integrating baropodometric data, the model allows the estimation of lower limb net-joint forces, torques and muscle power. Net forces and torques are also assessed at intervertebral levels. All the elaborations are completely automatised up to the mean behaviour extraction for both posture and cyclic-repetitive tasks, allowing the clinician/researcher to perform, per each patient, multiple postural/movement tests and compare them in a unified statistically reliable framework.

Indexed as

Imaging, Three-DimensionalPostureBiomechanical PhenomenaGaitHumansKineticsSkeleton3D spinebaropodometrygait analysismovement analysisposturerunning analysisskeleton modelstereo-photogrammetrysurface electromyography

Identifiers

PMID34200358
PMCPMC8201118
OpenAlexW3167196149

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.