Evidence map›Paper›PMID 31921822›Full record

ArticleFrontiers in bioengineering and biotechnology2019

Multibody Models for the Analysis of a Fall From Height: Accident, Suicide, or Murder?

Giulia Pascoletti, Daniele Catelani, Paolo Conti, Filippo Cianetti, Elisabetta M Zanetti

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2019. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Regional Variations in Mechanical Properties of Porcine Leptomeninges.Cyborg and bionic systems (Washington, D.C.) · 2025
    Article
  4. Investigation on vehicle occupant dummy applicability for under-foot impact loading conditions.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Mechanical Characterization and Modeling of the Porcine Cerebral Meninges.Frontiers in bioengineering and biotechnology · 2020
    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.

Giulia PascolettiDepartment of Engineering, University of Perugia, Perugia, Italy.
Daniele CatelaniMSC Software Corporation, Turin, Italy.
Paolo ContiDepartment of Engineering, University of Perugia, Perugia, Italy.
Filippo CianettiDepartment of Engineering, University of Perugia, Perugia, Italy.
Elisabetta M ZanettiDepartment of Engineering, University of Perugia, Perugia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The final subject position is often the only evidence in the case of the fall of a human being from a given height. Foreseeing the body trajectory and the respective driving force may not be trivial due to the possibility of rotations and to an unknown initial position and momentum of the subject. This article illustrates how multibody models can be used for this aim, with specific reference to an actual case, where a worker fell into a stair well, prior to stair mounting, and he was found in an unexpected posture. The aim of the analysis was establishing if this worker was dead in that same place, if he had been pushed, and which was his initial position. A multibody model of the subject has been built ("numerical android"), given his stature and his known mass. Multiple simulations have been performed, following a design of experiments where various initial positions and velocity as well as pushing forces have been considered, while the objective function to be minimized was the deviation of the numerical android position from the actual worker position. At the end of the analysis, it was possible to point how a very limited set of conditions, all including the application of an external pushing force (or initial speed), could produce the given final posture with an error on the distance function equal to 0.39 m. The full analysis gives a demonstration of the potentiality of multibody models as a tool for the analysis of falls in forensic inquiries.

Indexed as

accidentandroidbiomechanicscrimedoefallforensicmultibody

Identifiers

PMID31921822
PMCPMC6920173

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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.