Evidence map›Paper›PMID 40418505›Full record

ArticleMedical & biological engineering & computing2025

Passive haptic interface for robot-assisted endovascular catheterization.

Yu Song, Yu Tian, Liutao Li, Qiang Gao, Zhiwei Li

Abstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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.

Yu SongThe School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, 300384, China.
Yu TianThe School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, 300384, China.
Liutao LiThe School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, 300384, China.
Qiang GaoThe TUT Maritime College, Tianjin University of Technology, Tianjin, 300384, China.
Zhiwei LiThe School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, 300384, China. lzw@tju.edu.cn.ORCID http://orcid.org/0000-0001-7814-4483

Funding

Program of Graduate Education and Teaching Reform in Tianjin University of Technology ZDXM2022the National Natural Science Foundation of China 62103299
6 · The paper itself

Abstract

Master-slave vascular interventional surgical robots reduce surgeon's exposure to radiation during procedures. However, the master-slave structure keeps the surgeon away from the patient, the surgeon loses the sense of haptics while manipulating the robot, and the surgeon's sense of surgical presence is reduced. To solve this problem, we have developed a master robot with haptic feedback. The surgeon manipulates the master robot without changing the traditional surgical manipulation posture, and the magnetorheological fluid-based haptic interface generates passive haptic feedback to the surgeon. Magnetic field simulation analysis is used to optimize the parameters of the haptic interface. The haptic interface adopts a closed-loop control strategy based on the magnetic field-resistance prediction model, which uses the magnetic field information inside the device to complete the haptic force closed-loop control. The slave robot utilizes dual linear guides for precise delivery of catheters/guidewires. Experimentally verified that the developed master robot meets the surgeon's need for haptic feedback in vascular interventional procedures and has good applicability.

Indexed as

CatheterizationEndovascular ProceduresRoboticsRobotic Surgical ProceduresEquipment DesignFeedbackHumansMagnetic FieldsMagnetorheological fluidTactile interfaceVascular intervention robot

Identifiers

What OpenQuestion holds

Textmetadata
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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.