Evidence map›Paper›PMID 40075069›Full record

ArticleScientific data2025

Open dataset of kinetics, kinematics, and electromyography of above-knee amputees during stand-up and sit-down.

Grace R Hunt, Lukas Gabert, Colby Hansen, K Bo Foreman, Tommaso Lenzi

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Grace R HuntHGN Lab for Bionic Engineering, Department of Mechanical Engineering and Robotics Center, University of Utah, 1495 E 100 S, Salt Lake City, UT, 84112, USA. grace.hunt@hsc.utah.edu.ORCID http://orcid.org/0000-0002-6815-0764
Lukas GabertHGN Lab for Bionic Engineering, Department of Mechanical Engineering and Robotics Center, University of Utah, 1495 E 100 S, Salt Lake City, UT, 84112, USA.
Colby HansenDepartment of Physical Medicine and Rehabilitation, University of Utah, 85 Medical Dr N, Salt Lake City, UT, 84132, USA.
K Bo ForemanDepartment of Physical Therapy & Athletic Training at the University of Utah, 520 Wakara Way, Salt Lake City, UT, 84108, USA.
Tommaso LenziHGN Lab for Bionic Engineering, Department of Mechanical Engineering and Robotics Center, University of Utah, 1495 E 100 S, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0003-0957-6412

Funding

Lightweight Powered Prosthesis for Above-knee AmputeesR01HD098154 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Tommaso Lenzi · 2019 to 2026
$3.6M
National Science Foundation (NSF) 1925371National Science Foundation (NSF) 1935371NICHD NIH HHS R01 HD098154U.S. Department of Defense (United States Department of Defense) W81XWH-21-10-037U.S. Department of Health & Human Services | CDC | National Institute for Occupational Safety and Health (NIOSH) T420H008414U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HD098154U.S. Department of Health & Human Services | National Institutes of Health (NIH) U.S. Department of Health & Human Services | National Institutes of Health
6 · The paper itself

Abstract

After above-knee amputation, the biological knee and ankle are replaced with prostheses. The mobility level of individuals with amputation is related, in part, to the functionality of their prostheses. To understand healthcare needs of amputees, as well as design new, more helpful prostheses, we need to understand the biomechanical effects of using current prosthetic devices. Here we present a dataset of kinetic, kinematic, electromyographic, and video recordings of nine above-knee amputees during the stand-up and sit-down movements. This dataset represents the first repository of amputee biomechanics during stand-up and sit-down with their passive, microprocessor-controlled prostheses, which are still the standard of care after above-knee amputation. The biomechanics were captured using a 12-camera motion capture system with two force plates and four EMG sensors on the intact lower limb. The dataset can serve as a reference when designing next-generation powered prostheses and controllers, to inform prosthetic prescription, and to improve amputee rehabilitation.

Indexed as

AmputeesArtificial LimbsAdultAmputation, SurgicalBiomechanical PhenomenaElectromyographyHumansKineticsMaleMovement

Identifiers

PMID40075069
PMCPMC11903848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.