Evidence map›Paper›PMID 37420836›Full record

ArticleSensors (Basel, Switzerland)2023

Transparent Pneumatic Tactile Sensors for Soft Biomedical Robotics.

Sinuo Zhao, Chi Cong Nguyen, Trung Thien Hoang, Thanh Nho Do, Hoang-Phuong Phan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Sinuo ZhaoSchool of Mechanical and Manufacturing Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.ORCID 0009-0001-3495-2566
Chi Cong NguyenTyree Institute of Health Engineering, UNSW Sydney, Sydney, NSW 2052, Australia.ORCID 0000-0002-8113-5163
Trung Thien HoangTyree Institute of Health Engineering, UNSW Sydney, Sydney, NSW 2052, Australia.ORCID 0000-0001-5216-5948
Thanh Nho DoGraduate School of Biomedical Engineering, Faculty of Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.ORCID 0000-0002-4980-5251
Hoang-Phuong PhanSchool of Mechanical and Manufacturing Engineering, UNSW Sydney, Kensington Campus, Sydney, NSW 2052, Australia.ORCID 0000-0002-1724-5667

Funding

Australian Research Council DE200100238Australian Research Council DP230101312
6 · The paper itself

Abstract

Palpation is a simple but effective method to distinguish tumors from healthy tissues. The development of miniaturized tactile sensors embedded on endoscopic or robotic devices is key to achieving precise palpation diagnosis and subsequent timely treatment. This paper reports on the fabrication and characterization of a novel tactile sensor with mechanical flexibility and optical transparency that can be easily mounted on soft surgical endoscopes and robotics. By utilizing the pneumatic sensing mechanism, the sensor offers a high sensitivity of 1.25 mbar and negligible hysteresis, enabling the detection of phantom tissues with different stiffnesses ranging from 0 to 2.5 MPa. Our configuration, combining pneumatic sensing and hydraulic actuating, also eliminates electrical wiring from the functional elements located at the robot end-effector, thereby enhancing the system safety. The optical transparency path in the sensors together with its mechanical sensing capability open interesting possibilities in the early detection of solid tumor as well as in the development of all-in-one soft surgical robots that can perform visual/mechanical feedback and optical therapy.

Indexed as

NeoplasmsRoboticsEndoscopyHumansPalpationTouchflexible sensorsrobotic palpationsurgical soft roboticstransparent pressure sensors

Identifiers

PMID37420836
PMCPMC10302895

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.