Evidence map›Paper›PMID 41907871›Full record

ArticleMedical devices (Auckland, N.Z.)2026

Design and Research of Multi Segment Exoskeleton Reconfigurable Soft Finger Actuator.

Zhilin Zhang, Aldrin D Calderon, Junliang Lai, Helin Wang, Xianhao Hu, Daonan Chen, Chuanjian Liang

Abstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

Zhilin ZhangSchool of Physics and Telecommunications Engineering, Yulin Normal University, Yulin, People's Republic of China.ORCID 0009-0005-7247-2407
Aldrin D CalderonSchool of Graduate Studies, Mapua University, Manila, Philippines.
Junliang LaiSchool of Physics and Telecommunications Engineering, Yulin Normal University, Yulin, People's Republic of China.ORCID 0009-0002-6483-9107
Helin WangSchool of Physics and Telecommunications Engineering, Yulin Normal University, Yulin, People's Republic of China.
Xianhao HuSchool of Physics and Telecommunications Engineering, Yulin Normal University, Yulin, People's Republic of China.ORCID 0009-0000-4445-9567
Daonan ChenSchool of Physics and Telecommunications Engineering, Yulin Normal University, Yulin, People's Republic of China.
Chuanjian LiangSchool of Physics and Telecommunications Engineering, Yulin Normal University, Yulin, People's Republic of China.ORCID 0009-0007-7902-9218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The growing number of patients with hand dysfunction caused by conditions such as stroke has led to increasing demand for soft finger rehabilitation actuators. However, existing devices of this type often face issues such as irregular deformation, insufficient driving force, the inability to achieve segmented control, and poor rigidity retention. Methods: A multi-segment exoskeleton design is proposed, which achieves a functional separation between actuation and load-bearing. Utilizing the principle of virtual work and the Yeoh constitutive model, derive the pressure-to-angle transfer function to facilitate the establishment of the overall equation of motion. Results: The finite element analysis and experimental tests conducted in this study prove that the design prevents irregular deformation, enables segmented control, and maintains high rigidity. Through physical testing, a maximum bending angle of 338.7° and a maximum driving force of 11.50 N were achieved, which is 25.27% higher than the 9.18 N force found in existing studies. Conclusion: The multi-segment reconfigurable soft finger exoskeleton actuator proposed in this study demonstrates significant advantages over conventional devices, with its enhanced bending range and force output facilitating patients' performance of daily grasping tasks. The segmented control capability enables personalized rehabilitation training targeting specific finger joints. This innovation holds substantial promise for improving hand function recovery in stroke patients.

Indexed as

exoskeletal structuresflexible materialssoft actuatorsvirtual work principle

Identifiers

PMID41907871
PMCPMC13025834

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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.