Evidence map›Paper›PMID 42502775›Full record

ArticleMethodsX2026

A robotic perturbation trainer for transverse-plane gait perturbations in pediatric cerebral palsy

Amna R Khawaja, Daulet Sagidoldin, Dilnoza Karibzhanova, Yinan Jin, Aibek Niyetkaliyev, Shyngys Dauletbayev, Naveed Ahmad Khan, Prashant K Jamwal

Abstract read
In one paragraph

Article in MethodsX, 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

8 authors.

Amna R KhawajaDepartment of Physical Therapy, Athletic Training and Rehabilitation Science, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, USA.
Daulet SagidoldinSchool of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Dilnoza KaribzhanovaSchool of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Yinan JinDepartment of Mechanical Engineering, Zhejiang University of Technology, China.
Aibek NiyetkaliyevSchool of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Shyngys DauletbayevSchool of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Naveed Ahmad KhanSchool of Information Technology and Systems, University of Canberra, Australia.
Prashant K JamwalSchool of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study describes the development and implementation of a robotic perturbation-based training methodology for children with cerebral palsy (CP). A Robotic Perturbation Trainer (RPT) was engineered to deliver controlled multidirectional waist-pull perturbations during treadmill walking. The system integrates a cable-driven parallel manipulator with a treadmill and body-weight support to enable safe and repeatable application of external disturbances in the transverse plane. The methodology was implemented in two adolescents with CP (ages 16-17; spastic diplegic and spastic dyskinetic subtypes) using a 5-week protocol consisting of ten treadmill-based sessions. Training parameters, including perturbation magnitude (65-85 N) and treadmill speed (0.2-0.5 km/h), were progressively adjusted according to predefined ranges. A multimodal assessment framework was applied at baseline, mid-, and post-implementation stages. Functional mobility and balance were evaluated using standardized outcome measures (6-Minute Walk Test, 10-Meter Walk Test, Timed Up and Go Test, Berg Balance Scale, and Gross Motor Function Measure), and surface electromyography was used to quantify activation of the gluteus maximus and medius muscles.

Indexed as

Cerebral palsyGait analysisPediatric rehabilitationPerturbation-based trainingRobot-aided rehabilitation

Identifiers

PMID42502775
PMCPMC13400327

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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.