Evidence map›Paper›PMID 39819980›Full record

ArticleScientific data2025

Kinematics, kinetics, and muscle activations during human locomotion over compliant terrains.

Charikleia Angelidou, Vaughn Chambers, Bradley Hobbs, Chrysostomos Karakasis, Panagiotis Artemiadis

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Charikleia AngelidouUniversity of Delaware, Department of Mechanical Engineering, Newark, DE, 19716, USA.
Vaughn ChambersUniversity of Delaware, Department of Mechanical Engineering, Newark, DE, 19716, USA.
Bradley HobbsUniversity of Delaware, Department of Mechanical Engineering, Newark, DE, 19716, USA.
Chrysostomos KarakasisUniversity of Delaware, Department of Mechanical Engineering, Newark, DE, 19716, USA.
Panagiotis ArtemiadisUniversity of Delaware, Department of Mechanical Engineering, Newark, DE, 19716, USA. partem@udel.edu.ORCID http://orcid.org/0000-0001-9512-0803

Funding

SCH: Model-informed patient-specific rehabilitation using robotics and neuromuscular modelingR01HD111071 · NICHD · UNIVERSITY OF DELAWARE · PI ARTEMIADIS, PANAGIOTIS · 2022 to 2025
$1.2M
National Science Foundation (NSF) 2015786National Science Foundation (NSF) 2018905National Science Foundation (NSF) 2020009National Science Foundation (NSF) 2025797NICHD NIH HHS R01 HD111071U.S. Department of Health & Human Services | National Institutes of Health (NIH) 1R01HD111071-01
6 · The paper itself

Abstract

Walking on compliant terrains, like carpets, grass, and soil, presents a unique challenge, especially for individuals with mobility impairments. In contrast to rigid-ground walking, compliant surfaces alter movement dynamics and increase the risk of falls. Understanding and modeling gait control across such soft and deformable surfaces is thus crucial for maintaining daily mobility. However, access to the necessary equipment for modeling compliant surface walking is limited. Therefore, in this paper, we present the first publicly available biomechanics dataset of 20 individuals walking on terrains of varying compliance, using a unique robotic device, the Variable Stiffness Treadmill 2 (VST 2), designed to simulate walking on adjustable compliant terrain. VST 2 provides a consistent and reproducible environment for studying the biomechanics of walking on such surfaces within laboratory settings. The goal of this dataset is to provide insights into the muscular, kinematic, and kinetic adaptations that occur when humans walk on compliant terrain in order to design better controllers for prosthetic limbs, improve rehabilitation protocols, and develop adaptive assistive devices that can enhance mobility on compliant surfaces.

Indexed as

LocomotionMuscle, SkeletalWalkingBiomechanical PhenomenaGaitHumansKineticsRobotics

Identifiers

PMID39819980
PMCPMC11739373

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.