Evidence map›Paper›PMID 40880434›Full record

ArticlePloS one2025

Hip, knee, and ankle joint forces during exoskeletal-assisted walking: Comparison of approaches to simulate human-robot interactions.

Gabriela B De Carvalho, Vishnu D Chandran, Ann M Spungen, Noam Y Harel, William A Bauman, Saikat Pal

Abstract readComparative Study
In one paragraph

Article in PloS one, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Gabriela B De CarvalhoDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, United States of America.
Vishnu D ChandranDepartment of Rehabilitation, Hospital for Special Surgery, New York, New York, United States of America.
Ann M SpungenSpinal Cord Damage Research Center, James J. Peters Veterans Affairs Medical Center, Bronx, New York, United States of America.
Noam Y HarelSpinal Cord Damage Research Center, James J. Peters Veterans Affairs Medical Center, Bronx, New York, United States of America.ORCID 0000-0003-3085-2194
William A BaumanDepartment of Medicine and Rehabilitation & Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Saikat PalDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, United States of America.ORCID 0000-0002-6908-5896

Funding

NSF 2022346414RRD VA I01 RX005309
6 · The paper itself

Abstract

The overall goal of this study was to develop a computational framework to quantify hip, knee, and ankle joint forces during exoskeletal-assisted walking (EAW) in the ReWalk P6.0, an FDA-approved lower-extremity exoskeleton. The first objective was to quantify hip, knee, and ankle joint forces during unassisted walking and compare the results to existing in vivo and simulation data. The second objective was to compute hip, knee, and ankle joint forces from four different approaches to simulate human-robot interactions during EAW. We recorded the three-dimensional motion of one able-bodied participant during unassisted walking and EAW, with simultaneous measurements of (i) marker trajectories, (ii) ground reaction forces, (iii) electromyography, and (iv) exoskeleton encoder data. We developed a subject-specific virtual simulator in OpenSim to reproduce unassisted walking and EAW. Next, we utilized OpenSim's extension, OpenSim Moco, to determine the joint reaction forces at the hips, knees, and ankles during unassisted walking and EAW. The computed peak hip, knee, and ankle joint compressive forces during unassisted walking were 3.42-3.82 body weight (BW), 3.10-3.48 BW, and 4.97-5.83 BW, respectively; these joint forces were comparable to prior in vivo and simulation results. The four approaches to simulate human-robot interactions during EAW resulted in peak compressive forces ranging from 2.98-4.66 BW, 2.82-5.83 BW, and 3.39-3.79 BW at the hip, knee, and ankle joints, respectively. This computational framework provides a low-risk and cost-effective technique to quantify the loading of the long bones and assess fracture risk during EAW in patients with severe bone loss in the lower extremities.

Indexed as

Ankle JointExoskeleton DeviceHip JointKnee JointRoboticsWalkingAdultBiomechanical PhenomenaComputer SimulationElectromyographyFemaleHumansMale

Identifiers

PMID40880434
PMCPMC12396643

What OpenQuestion holds

Textmetadata
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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.