Evidence map›Paper›PMID 41902019›Full record

ArticleSensors (Basel, Switzerland)2026

Measurement-Based Optimization of a Lightweight Upper-Extremity Rehabilitation Exoskeleton for Task-Oriented Treatment.

Piotr Falkowski, Piotr Kołodziejski, Krzysztof Zawalski, Maciej Pikuliński, Jan Oleksiuk, Tomasz Osiak, Andrzej Zakręcki, Kajetan Jeznach, Daniel Śliż

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Piotr FalkowskiŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0000-0002-9436-5566
Piotr KołodziejskiŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0009-0008-8274-5378
Krzysztof ZawalskiŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0009-0001-0366-836X
Maciej PikulińskiŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0000-0002-8239-8328
Jan OleksiukŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0009-0005-4453-0024
Tomasz OsiakŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0009-0000-1388-4667
Andrzej ZakręckiŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0009-0000-5545-1800
Kajetan JeznachŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0009-0000-4794-9051
Daniel ŚliżŁukasiewicz Research Network-Industrial Research Institute for Automation and Measurements PIAP, 02-486 Warsaw, Poland.ORCID 0000-0001-5917-8119

Funding

National Centre for Research and Development LIDER14/0196/2023
6 · The paper itself

Abstract

Contemporary physiotherapy requires technological tools to provide effective therapy to the increasing group of patients with neurological conditions, among others. This can be achieved with rehabilitation robots, which can also be exoskeletons-wearable devices that mobilize multiple joints with complex motions representing activities of daily living. To perform kinesiotherapy conveniently in home-like environments, the exoskeletons need to be relatively lightweight. The paper presents the methodology for decreasing the mass of the exoskeleton design with real-life data-driven simulations of motions, followed by multibody dynamics simulations, and finite element method (FEM) multistep optimization. The process includes sequential initial parametric optimization, topology optimization, and final parametric optimization. The steps are used to set initial dimensional and material parameters, extract new geometrical features, and adjust the final geometry dimensions of a new design. The presented case of the

Indexed as

Exoskeleton DeviceUpper ExtremityActivities of Daily LivingEquipment DesignFinite Element AnalysisHumansRoboticsdigital shadowexoskeletonfinite element methodmultibody system dynamicsparametric optimizationrehabilitation roboticssimulation-based designtopology optimization

Identifiers

PMID41902019
PMCPMC13030215

What OpenQuestion holds

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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.