Evidence map›Paper›PMID 34382638›Full record

ArticleJournal of biomechanical engineering2021

A Computational Gait Model With a Below-Knee Amputation and a Semi-Active Variable-Stiffness Foot Prosthesis.

Michael A McGeehan, Peter G Adamczyk, Kieran M Nichols, Michael E Hahn

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Michael A McGeehanDepartment of Human Physiology, University of Oregon, 181 Esslinger Hall, 1525 University St., Eugene, OR 97403.
Peter G AdamczykDepartment of Mechanical Engineering, University of Wisconsin-Madison, Room 3039, Mechanical Engineering Building 1513 University Ave., Madison, WI 53706-1539.
Kieran M NicholsDepartment of Mechanical Engineering, University of Wisconsin-Madison, Room 3039, Mechanical Engineering Building 1513 University Ave., Madison, WI 53706-1539.
Michael E HahnDepartment of Human Physiology, University of Oregon, 181 Esslinger Hall, 1525 University St., Eugene, OR 97403.
University of Oregon · USUniversity of Wisconsin–Madison · US

Funding

Active Variable-Stiffness Prosthetic FootR43HD074424 · NICHD · INTELLIGENT PROSTHETIC SYSTEMS, LLC · PI ADAMCZYK, PETER G · 2015 to 2015
$157k
NICHD NIH HHS R43 HD074424
6 · The paper itself

Abstract

introductionSimulations based on computational musculoskeletal models are powerful tools for evaluating the effects of potential biomechanical interventions, such as implementing a novel prosthesis. However, the utility of simulations to evaluate the effects of varied prosthesis design parameters on gait mechanics has not been fully realized due to the lack of a readily-available limb loss-specific gait model and methods for efficiently modeling the energy storage and return dynamics of passive foot prostheses. The purpose of this study was to develop and validate a forward simulation-capable gait model with lower-limb loss and a semi-active variable-stiffness foot (VSF) prosthesis.

methodsA seven-segment 28-DoF gait model was developed and forward kinematics simulations, in which experimentally observed joint kinematics were applied and the resulting contact forces under the prosthesis evolved accordingly, were computed for four subjects with unilateral below-knee amputation walking with a VSF.

resultsModel-predicted resultant ground reaction force (GRFR) matched well under trial-specific optimized parameter conditions (mean R2: 0.97, RMSE: 7.7% body weight (BW)) and unoptimized (subject-specific, but not trial-specific) parameter conditions (mean R2: 0.93, RMSE: 12% BW). Simulated anterior-posterior center of pressure demonstrated a mean R2 = 0.64 and RMSE = 14% foot length. Simulated kinematics remained consistent with input data (0.23 deg RMSE, R2 > 0.99) for all conditions.

conclusionsThese methods may be useful for simulating gait among individuals with lower-limb loss and predicting GRFR arising from gait with novel VSF prostheses. Such data are useful to optimize prosthesis design parameters on a user-specific basis.

Indexed as

Artificial LimbsAmputation, SurgicalBiomechanical PhenomenaFootGaitHumansKnee JointProsthesis DesignWalking

Identifiers

PMID34382638
PMCPMC10782860
OpenAlexW3187077939

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.