Evidence map›Paper›PMID 38953048›Full record

ArticleMedical devices (Auckland, N.Z.)2024

Design and Driving Performance Study of Soft Actuators for Hand Rehabilitation Training.

Zhilin Zhang, Aldrin D Calderon, Xingyu Huang, Guixian Wu, Chuanjian Liang

Abstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 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 Mechanical, Manufacturing and Energy Engineering, Mapua University, Manila, Philippines.
Xingyu HuangSchool of Information Technology, Mapua University, Manila, Philippines.
Guixian WuYulin Health School of Guangxi Medical University, Yulin, People's Republic of China.ORCID 0009-0006-5125-6964
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: To address the application requirements of soft actuators in rehabilitation training gloves, and in combination with ergonomic requirements, we designed a segmented soft actuator with bending and elongation modules. This actuator can achieve independent or coupled movements of the finger joints. Methods: A finite element model of the joint actuator was established to compare the driving performance of actuators with different structural forms. Numerical calculations were used to analyze the effects of structural size parameters on the bending characteristics and end output force of the actuator. The design was then refined based on these analyses. Results: The joint actuator designed in this study demonstrated a 71% increase in bending angle compared to the standard fast pneumatic network structure. Key factors affecting the driving performance include the thickness of the constraint layer, the inner wall thickness of the chamber, chamber height, chamber width, chamber spacing, chamber length, and the number of chambers. After improvements, the bending angle of the joint actuator increased by 60.6%, and the output force increased by 145.9%, indicating significant improvement. Conclusion: This study designed and improved a soft actuator for hand rehabilitation training, achieving independent and coupled joint movements. The bending angle, bending shape, and joint driving force of the soft actuator meet the requirements for finger rehabilitation training.

Indexed as

fast pneumatic networksfinite element methodrehabilitation trainingsoft actuatorsstructural optimization

Identifiers

PMID38953048
PMCPMC11216218

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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.