Evidence map›Paper›PMID 39451785›Full record

ArticleBiomimetics (Basel, Switzerland)2024

The Design of the Dummy Arm: A Verification Tool for Arm Exoskeleton Development.

Suzanne J Filius, Bas J van der Burgh, Jaap Harlaar

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. 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

3 authors.

Suzanne J FiliusDepartment of BioMechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.ORCID 0000-0002-4893-8124
Bas J van der BurghDepartment of Precision and Microsystems Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.ORCID 0009-0009-9367-6424
Jaap HarlaarDepartment of BioMechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.ORCID 0000-0003-2889-271X

Funding

Baat MedicalDuchenne Parent ProjectDutch Research Council (NWO) P16-05Festo (Netherlands)FSHD societySpieren voor SpierenYumen Bionics
6 · The paper itself

Abstract

Motorised arm supports for individuals with severe arm muscle weakness require precise compensation for arm weight and elevated passive joint impedance (e.g., joint stiffness as a result of muscle atrophy and fibrosis). Estimating these parameters in vivo, along with the arm's centre of mass, is challenging, and human evaluations of assistance can be subjective. To address this, a dummy arm was designed to replicate the human arm's anthropometrics, degrees of freedom, adjustable segment masses, and passive elbow joint impedance (eJimp). This study presents the design, anthropometrics, and verification of the dummy arm. It successfully mimics the human arm's range of motion, mass, and centre of mass. The dummy arm also demonstrates the ability to replicate various eJimp torque-angle profiles. Additionally, it allows for the tuning of the segment masses, centres of mass, and eJimp to match a representative desired target population. This simple, cost-effective tool has proven valuable for the development and verification of the Duchenne ARm ORthosis (DAROR), a motorised arm support, or 'exoskeleton'. This study includes recommendations for practical applications and provides insights into optimising design specifications based on the final design. It supplements the CAD design, enhancing the dummy arm's application for future arm-assistive devices.

Indexed as

arm replicadummy limbexoskeleton evaluationjoint impedancemechanical phantom limbupper extremity

Identifiers

PMID39451785
PMCPMC11504320

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.