Evidence map›Paper›PMID 40970160›Full record

ArticleWearable technologies2025

Simulation of stroke gait impairment correction using cable-driven lower limb rehabilitation exoskeleton (C-LREX).

Rajan Prasad, Marwan El-Rich, Mohammad I Awad, Kinda Khalaf

Abstract read
In one paragraph

Article in Wearable technologies, 2025. 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.

Rajan PrasadDepartment of Mechanical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.ORCID https://orcid.org/0000-0003-3091-7138
Marwan El-RichDepartment of Mechanical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
Mohammad I AwadElectrical, Computer and Biomedical Engineering Department, College of Engineering, Abu Dhabi University, Abu Dhabi, UAE.
Kinda KhalafHealthcare Engineering and Innovation Center (HEIC), Khalifa University, Abu Dhabi, UAE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cable-driven exoskeletons have recently shown great promise in the rehabilitation of stroke survivors. Numerical modeling/simulation provides a cost- and time-effective approach to fine-tuning design parameters of the exoskeletons, hence reducing the need for expensive and time-consuming experimental trials. This study investigated using a cable-driven lower limb rehabilitation exoskeleton (C-LREX) to correct stroke-impaired gait and track reference healthy trajectories. The impact of different levels of impairment and subject anthropometry variation on the model's performance was studied. The C-LREX model was successful in assisting the impaired limb to track the reference trajectory in all impaired gait patterns, except for higher impairment levels (>20° range of motion deviation at the hip joint). Subject anthropometry variation did not affect trajectory tracking when the cable routing was scaled to fit the user's anthropometry. This study confirmed that the C-LREX model could simulate various impaired lower limb gait patterns in the sagittal plane and determine the cable tension requirements needed to correct the impairment. Future work includes expanding the framework to incorporate frontal plane motion and to validate C-LREX performance in assisting biplanar impaired motion.

Indexed as

cable-driven exoskeletoncable routingexoskeletonlower limb rehabilitationstroke rehabilitationtrajectory tracking

Identifiers

PMID40970160
PMCPMC12441636

What OpenQuestion holds

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LicenceCC BY
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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.