Evidence map›Paper›PMID 38794010›Full record

ArticleSensors (Basel, Switzerland)2024

A Tension Sensor Array for Cable-Driven Surgical Robots.

Zhangxi Zhou, Jianlin Yang, Mark Runciman, James Avery, Zhijun Sun, George Mylonas

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Zhangxi ZhouThe Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London W2 1PF, UK.ORCID 0000-0002-1529-3710
Jianlin YangThe Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London W2 1PF, UK.
Mark RuncimanThe Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London W2 1PF, UK.ORCID 0000-0003-0782-5729
James AveryThe Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London W2 1PF, UK.ORCID 0000-0002-4015-1802
Zhijun SunState Key Laboratory of Mechanics and Control of Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
George MylonasThe Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London W2 1PF, UK.ORCID 0000-0003-3725-5843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tendon-sheath structures are commonly utilized to drive surgical robots due to their compact size, flexibility, and straightforward controllability. However, long-distance cable tension estimation poses a significant challenge due to its frictional characteristics affected by complicated factors. This paper proposes a miniature tension sensor array for an endoscopic cable-driven parallel robot, aiming to integrate sensors into the distal end of long and flexible surgical instruments to sense cable tension and alleviate friction between the tendon and sheath. The sensor array, mounted at the distal end of the robot, boasts the advantages of a small size (16 mm outer diameter) and reduced frictional impact. A force compensation strategy was presented and verified on a platform with a single cable and subsequently implemented on the robot. The robot demonstrated good performance in a series of palpation tests, exhibiting a 0.173 N average error in force estimation and a 0.213 N root-mean-square error. In blind tests, all ten participants were able to differentiate between silicone pads with varying hardness through force feedback provided by a haptic device.

Indexed as

Robotic Surgical ProceduresEquipment DesignHumansRoboticscable-driven parallel robot (CDPR)cable tension sensingforce estimationpalpationsensor design

Identifiers

PMID38794010
PMCPMC11125287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.