Evidence map›Paper›PMID 40161516›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Effects of an active ankle exoskeleton on the walking biomechanics of healthy men.

Sridevi Nagaraja, Jose E Rubio, Junfei Tong, Aravind Sundaramurthy, Anup Pant, Meredith K Owen, Michael A Samaan, Brian Noehren, Jaques Reifman

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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. Review
  2. 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

9 authors.

Sridevi NagarajaDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, Defense Health Agency Research and Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Jose E RubioDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, Defense Health Agency Research and Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Junfei TongDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, Defense Health Agency Research and Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Aravind SundaramurthyDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, Defense Health Agency Research and Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Anup PantDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, Defense Health Agency Research and Development, Medical Research and Development Command, Fort Detrick, MD, United States.
Meredith K OwenDepartment of Physical Therapy, University of Kentucky, Lexington, KY, United States.
Michael A SamaanDepartment of Kinesiology and Health Promotion, University of Kentucky, Lexington, KY, United States.
Brian NoehrenDepartment of Physical Therapy, University of Kentucky, Lexington, KY, United States.
Jaques ReifmanDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, Defense Health Agency Research and Development, Medical Research and Development Command, Fort Detrick, MD, United States.

Funding

Environmental Health Perspectives, NIEHS27302C0031 · NIEHS · 2008 to 2008
$1.2M
Quantifying the Mechanism and Impact of Hip Extensor Muscle Dysfunction During Aerobic Exercise in Hip OsteoarthritisK01AG073698 · NIA · UNIVERSITY OF KENTUCKY · PI Michael A Samaan · 2022 to 2026
$612k
NIA NIH HHS K01 AG073698NIEHS NIH HHS 27302C0031
6 · The paper itself

Abstract

Active lower-body exoskeleton devices can decrease the energy requirement of the human body by providing mechanical assistance to lower-body muscles. However, they also alter gait kinematics and kinetics, and it is not well understood whether such alterations are detrimental or beneficial to the human body. In this pilot study, we investigated the impact of walking with an ankle exoskeleton device on the biomechanics of men while carrying a heavy load. We collected computed tomography images and motion-capture data for five young, healthy men who walked 5 km (∼60 min) with a 22.7-kg load, with and without an active ankle exoskeleton (the ExoBoot EB60). We developed personalized musculoskeletal models and calculated the joint kinematics and kinetics for each participant under each walking condition. Without the ExoBoot, at 5 km compared to 0 km, on average, the peak trunk flexion angle increased by ∼35% and the stride length increased by ∼3.5%. In contrast, with the ExoBoot, the magnitude of the corresponding increases was smaller (∼16% and ∼2%, respectively). After the 5-km walk, compared to walking without the ExoBoot, its use considerably altered hip-related biomechanical parameters, e.g., it increased hip abduction angle by ∼17%, increased hip flexion moment by ∼3.5%, and decreased hip adduction moment by ∼19%. Finally, irrespective of distance, ExoBoot use significantly increased the stance duration and peak ankle plantarflexion angle (

Indexed as

exoskeletonindividualized modelsload carriagemusculoskeletal biomechanicswalking

Identifiers

PMID40161516
PMCPMC11949874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.