Evidence map›Paper›PMID 41495219›Full record

ArticleScientific reports2026

Investigating the effects of spring-loaded knee brace stiffness on gait biomechanics through predictive simulation.

Kuan Wang, Linlin Zhang, Leichao Liang, Xiaoyue Hu, Xinpeng Chen, Huihao Wang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kuan WangPudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China. Kuan__Wang@outlook.com.ORCID http://orcid.org/0000-0001-7829-5476
Linlin ZhangCollege of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Leichao LiangCollege of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Xiaoyue HuCollege of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
Xinpeng ChenSchool of Biomedical Sciences, The University of Queensland, St. Lucia, 4072, Australia.
Huihao WangShi's Center of Orthopedics and Traumatology (Institute of Traumatology, Shuguang Hospital), Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. huihaowang@126.com.

Funding

Shanghai Municipal Health Commission Excellent Young Medical Talents Training Program 2022YQ038SUMHS Faculty Talent "Hundred-Person Pool" Project A1-0200-25-311007-11SUMHS Faculty Teaching and Research Project A1-0200-25-309009-3Young Teachers Training and Support Program for Shanghai Higher Education Institutions A1-0200-25-311001-17Young Teachers Training and Support Program for Shanghai Higher Education Institutions A1-0200-25-311001-18
6 · The paper itself

Abstract

This study aims to elucidate the biomechanical effects of varying spring‐loaded knee brace (SLKB) stiffness on knee joint mechanics. This study combined musculoskeletal modeling with a direct collocation optimal control framework to perform a predictive simulation of walking under varied SLKB stiffness (0–1.0 Nm/deg), walking speeds (1.1–1.5 m/s), and slopes (level, 5°/10° uphill and downhill). A multi‐term cost function minimized metabolic energy, muscle activation rates, actuator excitations, joint accelerations, and joint‐limit penalties, yielding physiologically realistic trajectories that satisfied dynamic, path, and boundary constraints. Low‐stiffness SLKBs closely matched the no‐brace baseline, whereas increasing stiffness progressively restricted knee range of motion, induced minimal ground reaction force changes except under incline conditions, elevated knee flexor activations (biceps femoris, lateral gastrocnemius) for foot clearance, and reduced vastus medialis activity during inclined and declined walking. Crucially, medium to high‐stiffness SLKBs produced consistent early‐stance unloading of the knee vertical joint reaction force—up to 29.3% reduction uphill and 23.6% reduction downhill—although unloading effects attenuated or reversed in mid‐ and late‐stance. Increasing SLKB stiffness influenced knee kinematics and muscle activations, with phase‑ and condition‑dependent unloading effects, particularly during uphill walking. These findings suggest potential benefits for knee osteoarthritis, warranting in vivo validation and the development of subject‐specific, condition‑adaptive designs.

Indexed as

BracesGaitKnee JointBiomechanical PhenomenaComputer SimulationHumansModels, BiologicalMuscle, SkeletalRange of Motion, ArticularWalkingDirect collocationGround reaction forceKinematicsKnee braceSimulation

Identifiers

PMID41495219
PMCPMC12834950

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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.