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Classification Predictive Model for Air Leak Detection in Endoworm Enteroscopy System

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Classification Predictive Model for Air Leak Detection in Endoworm Enteroscopy System

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Zazo-Manzaneque, R.; Pons-Beltrán, V.; Vidaurre, A.; Santonja, A.; Sánchez-Diaz, C. (2022). Classification Predictive Model for Air Leak Detection in Endoworm Enteroscopy System. Sensors. 22(14):1-18. https://doi.org/10.3390/s22145211

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/193908

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Title: Classification Predictive Model for Air Leak Detection in Endoworm Enteroscopy System
Author: Zazo-Manzaneque, Roberto Pons-Beltrán, Vicente Vidaurre, Ana Santonja, Alberto Sánchez-Diaz, Carlos
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
Issued date:
Abstract:
[EN] 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 ...[+]
Subjects: Classification predictive models , Digital signal processing , Enteroscopy , Feature extraction , Inflatable cavities , Medical device , Real-time detection system , Soft robot
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s22145211
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s22145211
Project ID:
info:eu-repo/grantAgreement/Instituto de Salud Carlos III//PI18%2F01365//Optimización del dispositivo Endoworm de asistencia para la realización de enteroscopia/
Thanks:
The study was funded by the Spanish Ministry of Economy and Competitiveness through Project (PI18/01365) and by the UPV/IIS LA Fe through the (Endoworm 3.0) Project. CIBER-BBN is an initiative funded by the VI National ...[+]
Type: Artículo

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