Evidence map›Paper›PMID 42266454›Full record

ArticleWearable technologies2026

Feasibility of a new soft ankle exoskeleton on people with dropfoot post-stroke.

Xiaochen Zhang, Axel Fredriksen, Elena M Gutierrez-Farewik, Susanne Palmcrantz

Abstract read
In one paragraph

Article in Wearable technologies, 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

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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.

Xiaochen ZhangKTH MoveAbility, the Department of Engineering Mechanics, KTH Royal Institute of Technology, Sweden.ORCID https://orcid.org/0009-0001-4357-7876
Axel FredriksenDepartment of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Sweden.
Elena M Gutierrez-FarewikKTH MoveAbility, the Department of Engineering Mechanics, KTH Royal Institute of Technology, Sweden.
Susanne PalmcrantzDepartment of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dropfoot gait pattern during walking commonly persists after stroke and is often associated with muscle weakness and pathological muscle activation. Exoskeletons have demonstrated the potential to improve mobility in people with neurological conditions. We have developed a novel soft ankle exoskeleton and shown its ability to correct simulated dropfoot and excessive inversion in nondisabled people. In this study, we evaluate its feasibility in five persons with chronic stroke and dropfoot gait patterns. 3D gait analysis was performed in three conditions: walking with only shoes, with the exoskeleton unpowered, and powered. Foot and ankle kinematics and step length asymmetry were evaluated. The participants also reported satisfaction with QUEST 2.0 and a study-specific questionnaire. Compared with only shoes, the powered exoskeleton partially corrected dropfoot by increasing dorsiflexion angle and foot clearance height in swing, facilitating heel contact, neutralizing ankle inversion, and increasing step length symmetry slightly. The participants expressed satisfaction with the exoskeleton's effectiveness, though some comfort-related issues were identified. This feasibility study suggests that the exoskeleton prototype can improve dropfoot gait patterns and be accepted by individuals in the chronic stage after a stroke.

Indexed as

assistive devicebiomechanicsgait impairmentsoft robotics

Identifiers

PMID42266454
PMCPMC13244356

What OpenQuestion holds

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Registered trials

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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.