Evidence map›Paper›PMID 42292528›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Visual stimulation in automated gait rehabilitation for post-stroke patients.

Fu-Cheng Wang, Chia-Wei Chang, Hsin-Ti Cheng, Szu-Fu Chen, Yen-Chang Chien, Lik-Kang Koo, Lin-Yen Cheng

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

7 authors.

Fu-Cheng WangDepartment of Mechanical Engineering, National Taiwan University, Taipei, Taiwan.
Chia-Wei ChangDepartment of Mechanical Engineering, National Taiwan University, Taipei, Taiwan.
Hsin-Ti ChengDepartment of Mechanical Engineering, National Taiwan University, Taipei, Taiwan.
Szu-Fu ChenDepartment of Physical Medicine and Rehabilitation, Cheng Hsin General Hospital, Taipei, Taiwan.
Yen-Chang ChienDepartment of Physical Medicine and Rehabilitation, Cheng Hsin General Hospital, Taipei, Taiwan.
Lik-Kang KooDepartment of Physical Medicine and Rehabilitation, Cheng Hsin General Hospital, Taipei, Taiwan.
Lin-Yen ChengDepartment of Physical Medicine and Rehabilitation, Cheng Hsin General Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a visual stimulation system for an automated trainer employing neurodevelopmental treatment (NDT) principles. The traditional NDT can promote gait performance through repetitive tactile cues; however, its effectiveness is constrained by the need for continuous therapist involvement. Therefore, previous studies have presented automated gait trainers, which were capable of replicating tactile therapeutic interventions for gait rehabilitation. Recognizing the importance of visual perception in gait rehabilitation, we developed a visual stimulation system that incorporates both visual feedback training and action observation training to enhance rehabilitation outcomes. The visual system was then integrated with the NDT trainer to deliver synchronized tactile and visual cues during the rehabilitation sessions. We invited healthy individuals and post-stroke patients to participate in experiments and evaluated the rehabilitation effects. Based on the results, the visual stimulation system is shown to be effective in improving gait performance.

Indexed as

gaitperformancerehabilitationstroketrainervisual

Identifiers

PMID42292528
PMCPMC13253541

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.