Evidence map›Paper›PMID 41768131›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Development of a training-oriented wearable knee joint exoskeleton for forming a scientific force application pattern in squat tasks.

Shuai Chang, Feng Feng, Zihao Li, Yang Yu

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shuai ChangSport Biomechanics Center, Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing, China.
Feng FengDepartment of Physical Education, Capital Normal University, Beijing, China.
Zihao LiSport Biomechanics Center, Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing, China.
Yang YuSport Biomechanics Center, Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Squat training enhances athletic performance but poses knee injury risks when the technique is poor. Objective: Develop a resistance-type wearable knee exoskeleton to cultivate a hip-dominant, knee-safe squat pattern. Methods: Fifteen healthy men performed squats with either the exoskeleton or with barbells at three matched loads. Three-dimensional motion, ground-reaction force, and electromyography data were processed in OpenSim and MATLAB to quantify joint kinematics, power share, and muscle contribution. Results: The exoskeleton significantly reduced average angular velocity at the hip, knee, and ankle (p < 0.05), increasing hip power contribution by 20%-40% while decreasing knee contribution by 20%-30%, confirming a hip-driven pattern. However, knee and ankle ranges of motion decreased by 7°-9°, and vastus medialis activation dropped by ∼50% (p < 0.05). Conclusion: The device effectively standardizes squat mechanics and off-loads the knee, yet individualized tuning and auxiliary mobility work are recommended to optimize training transfer and preserve functional range of motion.

Indexed as

injury preventionjoint power redistributionmuscle activationsquat biomechanicswearable exoskeleton

Identifiers

PMID41768131
PMCPMC12946063

What OpenQuestion holds

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LicenceCC BY
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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.