Evidence map›Paper›PMID 37969107›Full record

ArticleProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2023

Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls.

Fatemeh Khorami, Numaira Obaid, Tim Bhatnagar, Ahmed Ayoub, Steve N Robinovitch, Carolyn J Sparrey

Abstract read
In one paragraph

Article in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Fatemeh KhoramiMechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada.ORCID 0000-0001-5114-8775
Numaira ObaidMechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada.
Tim BhatnagarOrthopaedics, University of British Columbia, Vancouver, BC, Canada.
Ahmed AyoubMechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada.
Steve N RobinovitchBiomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
Carolyn J SparreyMechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada.ORCID 0000-0002-5524-4577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A critical missing component in the study of real-world falls is the ability to accurately determine impact forces resulting from the fall. Subject-specific rigid body dynamic (RBD) models calibrated to video captured falls can quantify impact forces and provide additional insights into injury risk factors. RBD models were developed based on five backward falls captured on surveillance video in long-term care facilities in British Columbia, Canada. Model joint stiffness and initial velocities were calibrated to match the kinematics of the fall and contact forces were calculated. The effect of joint stiffnesses (neck, lumbar spine, hip, and knee joint) on head contact forces were determined by modifying the calibrated stiffness values ±25%. Fall duration, fall trajectories, and maximum velocities showed a close match between fall events and simulations. The maximum value of pelvic velocity difference between Kinovea (an open-source software 2D digitization software) and Madymo multibody modeling was found to be 6% ± 21.58%. Our results demonstrate that neck and hip stiffness values have a non-significant yet large effect on head contact force (

Indexed as

NeckPelvisBiomechanical PhenomenaRisk FactorsFalljoint stiffnessMadymoolder adults’ fallrigid body dynamics

Identifiers

PMID37969107
PMCPMC10685694

What OpenQuestion holds

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LicenceCC BY
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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.