Evidence map›Paper›PMID 39389926›Full record

ArticleInternational journal for numerical methods in biomedical engineering2024

Piloting a Novel Computational Framework for Identifying Prosthesis-Specific Contributions to Gait Deviations.

Jacques-Ezechiel N'Guessan, Muhammad Hassaan Ahmed, Matthew Leineweber, Sachin Goyal

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Article in International journal for numerical methods in biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jacques-Ezechiel N'GuessanDepartment of Mechanical Engineering, University of California, Merced, California, USA.
Muhammad Hassaan AhmedDepartment of Mechanical Engineering, University of California, Merced, California, USA.ORCID 0000-0002-9773-6086
Matthew LeineweberBiomedical Engineering Department, San Jose State University, San Jose, California, USA.
Sachin GoyalDepartment of Mechanical Engineering, University of California, Merced, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a novel computational framework for evaluating above-knee prostheses, addressing a major challenge in gait deviation studies: distinguishing between prosthesis-specific and patient-specific contributions to gait deviations. This innovative approach utilizes three separate computational models to quantify the changes in gait dynamics necessary to achieve a set of ideal gait kinematics across different prosthesis designs. The pilot study presented here employs a simple two-dimensional swing-phase model to conceptually demonstrate how the outcomes of this three-model framework can assess the extent to which prosthesis design impacts a user's ability to replicate the dynamics of able-bodied gait. Furthermore, this framework offers potential for optimizing passive prosthetic devices for individual patients, thereby reducing the need for real-life experiments, clinic visits, and overcoming rehabilitation challenges.

Indexed as

GaitProsthesis DesignArtificial LimbsBiomechanical PhenomenaComputer SimulationHumansMalePilot Projectsbiomechanicsgait deviationsswing phasetransfemoral prosthesis

Identifiers

PMID39389926
PMCPMC11618235

What OpenQuestion holds

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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.