Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning

Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning

High-resolution esophageal manometry is used for the study of esophageal motility disorders, with the help of catheters with up to 36 sensors. Color pressure topography plots are generated and analyzed and using the Chicago algorithm a final diagnosis is established. One of the main parameters in th...

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Bibliographic Details
Main Authors: Zoltan Czako, Teodora Surdea-Blaga, Gheorghe Sebestyen, Anca Hangan, Dan Lucian Dumitrascu, Liliana David, Giuseppe Chiarioni, Edoardo Savarino, Stefan Lucian Popa
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
machine learning
convolutional neural network
high-resolution esophageal manometry
integrated relaxation pressure
Online Access:https://www.mdpi.com/1424-8220/22/1/253

Internet

https://www.mdpi.com/1424-8220/22/1/253

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