Evidence map›Paper›PMID 40331600›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2025

A Master-Follower Teleoperation System for Robotic Catheterisation: Design, Characterisation and Tracking Control.

Ali A Nazari, Jeremy Catania, Soroush Sadeghian, Amir Jalali, Houman Masnavi, Farrokh Janabi-Sharifi, Kourosh Zareinia

Abstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ali A NazariDepartment of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Canada.
Jeremy CataniaDepartment of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Canada.
Soroush SadeghianDepartment of Computer Science, Toronto Metropolitan University, Toronto, Canada.
Amir JalaliDepartment of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Canada.
Houman MasnaviDepartment of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Canada.
Farrokh Janabi-SharifiDepartment of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Canada.ORCID https://orcid.org/0000-0002-0314-0688
Kourosh ZareiniaDepartment of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Canada.ORCID https://orcid.org/0000-0002-0603-9200

Funding

Natural Sciences and Engineering Research Council of Canada 2017-06930Natural Sciences and Engineering Research Council of Canada 2019-05562
6 · The paper itself

Abstract

backgroundOver the past 2 decades, telerobotic systems with robot-mediated, minimally invasive techniques, have mitigated radiation exposure for medical staff and extended medical services to remote areas. To enhance these services, master-follower telerobotic systems should offer transparency, enabling surgeons and clinicians to feel force interactions similar to those the follower device experiences with patients' bodies.

methodsWe present a three-degree-of-freedom master-follower teleoperated system for robotic catheterisation. The follower device uses a grip-insert-release mechanism to prevent catheter buckling and torsion, mimicking real-world manual intervention. Performance is evaluated through open-loop path tracking on circular, infinity-like and spiral paths.

resultsPath tracking errors, mean Euclidean error (MEE) and mean absolute error (MAE), range from 0.64 to 1.53 cm (MEE) and 0.81-1.92 cm (MAE) for different paths.

conclusionWhile the system meets precision and accuracy targets with an open-loop controller, closed-loop control is needed to address catheter hysteresis, dead zones and nonlinearities.

Indexed as

CatheterizationRoboticsRobotic Surgical ProceduresAlgorithmsCathetersEquipment DesignHumansSurgery, Computer-AssistedTelemedicinecharacterisationmaster‐follower teleoperation systemminimally invasive surgeryrobotic catheterisationtracking control

Identifiers

PMID40331600
PMCPMC12057324

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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.