Evidence map›Paper›PMID 38581371›Full record

ArticleJournal of biomechanical engineering2024

Changes in Dynamic Mean Ankle Moment Arm in Unimpaired Walking Across Speeds, Ramps, and Stairs.

Katherine Heidi Fehr, Jenny A Kent, Matthew J Major, Peter Gabriel Adamczyk

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanical 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
0.2field-weighted citation impact, top 57% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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 at 3 institutions in 1 country.

Katherine Heidi FehrDepartment of Mechanical Engineering, University of Wisconsin-Madison, 1513 University Avenue, Madison, WI 53705.ORCID 0000-0003-0765-1036
Jenny A KentDepartment of Physical Therapy, University of Nevada Las Vegas, 4505 S Maryland Pkwy, Las Vegas, NV 89154.
Matthew J MajorDepartment of Physical Medicine & Rehabilitation, Northwestern University, Chicago, IL 60611; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208; Jesse Brown Department of Veterans Affairs Medical Center, U.S. Department of Veterans Affairs, 680 N Lake Shore Dr, Suite 1100, Chicago, IL 60611.ORCID 0000-0002-2330-4619
Peter Gabriel AdamczykDepartment of Mechanical Engineering, University of Wisconsin-Madison, 1513 University Ave., Rm. 3039, Madison, WI 53705.
University of Wisconsin–Madison · USNorthwestern University · USUniversity of Nevada, Las Vegas · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
NCATS NIH HHS UL1 TR002373
6 · The paper itself

Abstract

Understanding the natural biomechanics of walking at different speeds and activities is crucial to develop effective assistive devices for persons with lower-limb impairments. While continuous measures such as joint angle and moment are well-suited for biomimetic control of robotic systems, whole-stride summary metrics are useful for describing changes across behaviors and for designing and controlling passive and semi-active devices. Dynamic mean ankle moment arm (DMAMA) is a whole-stride measure representing the moment arm of the ground reaction impulse about the ankle joint-effectively, how "forefoot-dominated" or "hindfoot-dominated" a movement is. DMAMA was developed as a target and performance metric for semi-active devices that adjust once per stride. However, for implementation in this application, DMAMA must be characterized across various activities in unimpaired individuals. In our study, unimpaired participants walked at "slow," "normal," and "fast" self-selected speeds on level ground and at a normal self-selected speed while ascending and descending stairs and a 5-degree incline ramp. DMAMA measured from these activities displayed a borderline-significant negative sensitivity to walking speed, a significant positive sensitivity to ground incline, and a significant decrease when ascending stairs compared to descending. The data suggested a nonlinear relationship between DMAMA and walking speed; half of the participants had the highest average DMAMA at their "normal" speed. Our findings suggest that DMAMA varies substantially across activities, and thus, matching DMAMA could be a valuable metric to consider when designing biomimetic assistive lower-limb devices.

Indexed as

WalkingAdultAnkleAnkle JointArmBiomechanical PhenomenaFemaleHumansMaleMechanical PhenomenaYoung Adult

Identifiers

PMID38581371
PMCPMC12502000
OpenAlexW4394013717

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.