Evidence map›Paper›PMID 40644026›Full record

ArticleIEEE ... International Conference on Rehabilitation Robotics : [proceedings]2025

Adapting Biomimetic Kinematics for Controlling a Powered-Knee, Passive-Ankle Prosthesis Across Inclines.

C Andrew Seelhoff, T Kevin Best, Robert D Gregg

Abstract read
In one paragraph

Article in IEEE ... International Conference on Rehabilitation Robotics : [proceedings], 2025. 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

3 authors.

C Andrew Seelhoff
T Kevin Best
Robert D Gregg

Funding

Controlling Robot-Assisted Locomotion with Extended Kalman Filter Estimates of Phase and ActivityR01HD094772 · NICHD · UNIVERSITY OF TEXAS DALLAS · PI Robert D Gregg · 2018 to 2026
$4.3M
NICHD NIH HHS R01 HD094772
6 · The paper itself

Abstract

Despite promising benefits for people with limb loss, powered multi-joint prostheses from the research field have not been translated into the clinical space. Commercial powered knee prostheses like the Össur Power Knee ${ }^{\text{TM}}$ are paired with passive feet which lack the range of motion of biological ankle joints, especially on steep inclines. This discrepancy prevents the direct translation of emerging biomimetic control methods for powered knee-ankle prostheses, which implicitly assume both joints exhibit normative biomechanics. To enable commercial prostheses to benefit from biomimetic control methods on inclines, this paper adapts a continuous knee kinematic model to minimize the difference in global foot angle compared to able-bodied reference data, under the assumption that the ankle joint is locked. In a pilot experiment with an above-knee amputee participant, our adapted controller produced substantial benefits compared to a baseline controller that only tracks ablebodied knee trajectories. Level-ground walking performance is similar to existing methods despite the change of objective, and on steep inclines, prosthesis load-bearing and center of pressure progression are restored to near-normative levels. These results show a promising pathway towards translation of biomimetic control methods onto existing commercial hardware, allowing near-term impacts with tangible benefits for prosthesis users.

Indexed as

Artificial LimbsBiomimeticsKnee ProsthesisAmputeesAnkle JointBiomechanical PhenomenaHumansKnee JointMaleProsthesis DesignWalking

Identifiers

PMID40644026
PMCPMC12258917

What Socratic 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 Socratic graph.