Evidence map›Paper›PMID 39064342›Full record

ArticleMicromachines2024

Evaluation of an Active Disturbance Rejection Controller for Ophthalmic Robots with Piezo-Driven Injector.

Qiannan Tao, Jianjun Liu, Yu Zheng, Yang Yang, Chuang Lin, Chenhan Guang

Abstract read
In one paragraph

Article in Micromachines, 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

6 authors.

Qiannan TaoSchool of Energy and Power Engineering, Beihang University, Beijing 100191, China.
Jianjun LiuSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.
Yu ZhengCollege of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Yang YangSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.
Chuang LinSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.
Chenhan GuangSchool of Mechanical and Materials Engineering, North China University of Technology, Beijing 100144, China.ORCID 0009-0004-7427-0916

Funding

National Key R&D Program of China 2017YFB1302702National Natural Science Foundation of China 51785011, 52205002Natural Science Foundation of Jiangsu Province of China BK20230366Natural Science Research Start-Up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications NY223044
6 · The paper itself

Abstract

Retinal vein cannulation involves puncturing an occluded vessel on the micron scale. Even single millinewton force can cause permanent damage. An ophthalmic robot with a piezo-driven injector is precise enough to perform this delicate procedure, but the uncertain viscoelastic characteristics of the vessel make it difficult to achieve the desired contact force without harming the retina. The paper utilizes a viscoelastic contact model to explain the mechanical characteristics of retinal blood vessels to address this issue. The uncertainty in the viscoelastic properties is considered an internal disturbance of the contact model, and an active disturbance rejection controller is then proposed to precisely control the contact force. The experimental results show that this method can precisely adjust the contact force at the millinewton level even when the viscoelastic parameters vary significantly (up to 403.8%). The root mean square (RMS) and maximum value of steady-state error are 0.32 mN and 0.41 mN. The response time is below 2.51 s with no obvious overshoot.

Indexed as

active disturbance rejection controllerophthalmic robotpiezo-driven injectorretinal vein cannulation

Identifiers

PMID39064342
PMCPMC11278564

What OpenQuestion holds

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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.