Evidence map›Paper›PMID 41697541›Full record

ArticleAnnals of biomedical engineering2026

Estimation of Recommended Damping Coefficient Range to Achieve Target Peak Knee Flexion in a Passive Prosthetic Knee.

Nina T Petelina, V N Murthy Arelekatti, Amanda L Shorter, W Brett Johnson, Jenny A Kent, John T Brinkmann, Matthew J Major, Amos G Winter V

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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4 · The record

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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.

Nina T Petelina *Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. petelina@mit.edu.ORCID http://orcid.org/0000-0002-8865-9269
V N Murthy Arelekatti *Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Amanda L ShorterDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
W Brett JohnsonDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jenny A KentDepartment of Physical Therapy, University of Nevada Las Vegas, Las Vegas, NV, USA.
John T BrinkmannDepartment of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, USA.
Matthew J MajorDepartment of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, USA.
Amos G Winter VDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Funding

Foundation for the National Institutes of Health R03HD092676-01National Science Foundation 1653758
6 · The paper itself

Abstract

purposeThere is a lack of predictive biomechanical models and publicly accessible empirical data that quantitatively explore the effect of damping magnitude on the peak knee flexion angle during the swing phase.

methodsA three-step framework estimates a recommended damping coefficient range required to achieve able-bodied peak knee flexion during swing. A recommended damping range (0.29-

resultsThe experimental study showed that the framework calculates an efficient starting damping value that promotes target able-bodied peak knee flexion. The damping coefficient values within the predicted recommended range resulted in able-bodied peak knee flexion (56 ± 3°) in the prosthetic leg for three out of the five participants. Increasing damping decreased the peak knee flexion, with the no-damping condition resulting in hyperflexion.

conclusionThis framework could allow prosthetic knee designers to develop devices with near-optimal damping, which may increase efficiency for clinical tuning, especially in low- and middle-income countries, where controlled knee flexion is the desired outcome.

Indexed as

Artificial LimbsGaitKnee JointKnee ProsthesisModels, BiologicalAdultAmputeesBiomechanical PhenomenaFemaleHumansMaleMiddle AgedRange of Motion, ArticularAbove-kneeAmputationDampingTransfemoral

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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 Socratic graph.