Evidence map›Paper›PMID 35890890›Full record

ArticleSensors (Basel, Switzerland)2022

Classification Predictive Model for Air Leak Detection in Endoworm Enteroscopy System.

Roberto Zazo-Manzaneque, Vicente Pons-Beltrán, Ana Vidaurre, Alberto Santonja, Carlos Sánchez-Díaz

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Roberto Zazo-ManzanequeCentre for Biomaterials and Tissue Engineering (CBIT), Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0001-7034-9505
Vicente Pons-BeltránDigestive Endoscopy Unit, Digestive Diseases Department, La Fe Polytechnic Univesity Hospital, 46026 Valencia, Spain.ORCID 0000-0001-8909-8929
Ana VidaurreCentre for Biomaterials and Tissue Engineering (CBIT), Universitat Politècnica de València, 46022 Valencia, Spain.
Alberto SantonjaSchool of Design Engineering (ETSID), Universitat Politècnica de València, 46022 Valencia, Spain.
Carlos Sánchez-DíazDepartment of Electronic Engineering, Universitat Politècnica de València, 46022 Valencia, Spain.
Universitat Politècnica de València · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESHospital Universitari i Politècnic La Fe · ES

Funding

Spanish Ministry of Economy and Competitiveness PI18/01365
6 · The paper itself

Abstract

Current enteroscopy techniques present complications that are intended to be improved with the development of a new semi-automatic device called Endoworm. It consists of two different types of inflatable cavities. For its correct operation, it is essential to detect in real time if the inflatable cavities are malfunctioning (presence of air leakage). Two classification predictive models were obtained, one for each cavity typology, which must discern between the "

Indexed as

AlgorithmsSoftwareAnimalsclassification predictive modelsdigital signal processingenteroscopyfeature extractioninflatable cavitiesmedical devicereal-time detection systemsoft robot

Identifiers

PMID35890890
PMCPMC9318585
OpenAlexW4285093538

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.