Evidence map›Paper›PMID 39588540›Full record

ArticleFrontiers in robotics and AI2024

Abraded optical fibre-based dynamic range force sensor for tissue palpation.

Abu Bakar Dawood, Vamsi Krishna Chavali, Thomas Mack, Zhenyu Zhang, Hareesh Godaba, Martin Angelmahr, Kaspar Althoefer

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 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. Article
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

7 authors.

Abu Bakar DawoodSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.
Vamsi Krishna ChavaliSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.
Thomas MackSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.
Zhenyu ZhangDepartment of Fiber Optical Sensor Systems, Fraunhofer Heinrich Hertz Institute, Goslar, Germany.
Hareesh GodabaDepartment of Engineering and Design, University of Sussex, Brighton, United Kingdom.
Martin AngelmahrDepartment of Fiber Optical Sensor Systems, Fraunhofer Heinrich Hertz Institute, Goslar, Germany.
Kaspar AlthoeferSchool of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tactile information acquired through palpation plays a crucial role in relation to surface characterisation and tissue differentiation - an essential clinical requirement during surgery. In the case of Minimally Invasive Surgery, access is restricted, and tactile feedback available to surgeons is therefore reduced. This paper presents a novel stiffness controllable, dynamic force range sensor that can provide remote haptic feedback. The sensor has an abraded optical fibre integrated into a silicone dome. Forces applied to the dome change the curvature of the optical fibres, resulting in light attenuation. By changing the pressure within the dome and thereby adjusting the sensor's stiffness, we are able to modify the force measurement range. Results from our experimental study demonstrate that increasing the pressure inside the dome increases the force range whilst decreasing force sensitivity. We show that the maximum force measured by our sensor prototype at 20 mm/min was 5.02 N, 6.70 N and 8.83 N for the applied pressures of 0 psi (0 kPa), 0.5 psi (3.45 kPa) and 1 psi (6.9 kPa), respectively. The sensor has also been tested to estimate the stiffness of 13 phantoms of different elastic moduli. Results show the elastic modulus sensing range of the proposed sensor to be from 8.58 to 165.32 kPa.

Indexed as

dynamic range force sensorfibre optic sensorminimally invasive surgeryoptical sensingsoft force sensortissue palpation

Identifiers

PMID39588540
PMCPMC11586255

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.